Search

Objective: The vocal biomarkers market was worth $1.9B in 2021 and is projected to exceed $5.1B by 2028, for a compound annual growth rate of 15.15%. The investment growth demonstrates a blossoming interest in voice and artificial intelligence (AI) as it relates to human health. The objective of this study was to map the current landscape of start-ups utilizing voice as a biomarker in health-tech., Data Sources: A comprehensive search for start-ups was conducted using Google, LinkedIn, Twitter, and Facebook. A review of the research was performed using company website, PubMed, and Google Scholar., Review Methods: A 3-pronged approach was taken to thoroughly map the landscape. First, an internet search was conducted to identify current start-ups focusing on products relating to voice as a biomarker of health. Second, Crunchbase was utilized to collect financial and organizational information. Third, a review of the literature was conducted to analyze publications associated with the identified start-ups., Results: A total of 27 start-up start-ups with a focus in the utilization of AI for developing biomarkers of health from the human voice were identified. Twenty-four of these start-ups garnered $178,808,039 in investments. The 27 start-ups published 194 publications combined, 128 (66%) of which were peer reviewed., Conclusion: There is growing enthusiasm surrounding voice as a biomarker in health-tech. Academic drive may complement commercialization to best achieve progress in this arena. More research is needed to accurately capture the entirety of the field, including larger industry players, academic institutions, and non-English content., (© 2024 American Academy of Otolaryngology–Head and Neck Surgery Foundation.)

The study delves into the crucial role of standardization, collaboration, and education in the integration of artificial intelligence (AI) in otolaryngology. It emphasizes the necessity of large, diverse datasets for effective AI implementation in health care, particularly in otolaryngology, due to its reliance on medical imagery and diverse instruments. The text identifies current barriers, including siloed work in academia and sparse academic-industrial partnerships, while proposing solutions like forming interdisciplinary teams and aligning incentives. Moreover, it discusses the importance of standardizing AI projects through system reporting and advocates for AI education and literacy among otolaryngology practitioners., Competing Interests: Disclosure Y. Bensoussan is funded by the National Institutes of Health, United States through the Common Fund for the project “Voice as a biomarker of Health.” Award number: 3OT2OD032720-01S1. E. Evangelista has no disclosures., (Published by Elsevier Inc.)

Background: As part of a larger goal to create best practices for voice data collection to fuel voice artificial intelligence (AI) research, the objective of this study was to investigate the ability of readily available iOS and Android tablets with and without low-cost headset microphones to produce recordings and subsequent acoustic measures of voice comparable to "research quality" instrumentation., Methods: Recordings of 24 sustained vowel samples representing a wide range of typical and disordered voices were played via a head-and-torso model and recorded using a research quality standard microphone/preamplifier/audio interface. Acoustic measurements from the standard were compared with two popular tablets using their built-in microphones and with low-cost headset microphones at different distances from the mouth., Results: Voice measurements obtained via tablets + headset microphones close to the mouth (2.5 and 5 cm) strongly correlated (r's > 0.90) with the research standard and resulted in no significant differences for measures of vocal frequency and perturbation. In contrast, voice measurements obtained using the tablets' built-in microphones at typical reading distances (30 and 45 cm) tended to show substantial variability in measurement, greater mean differences in voice measurements, and relatively poorer correlations vs the standard., Conclusion: Findings from this study support preliminary recommendations from the Bridge2AI-Voice Consortium recommending the use of smartphones paired with low-cost headset microphones as adequate methods of recording for large-scale voice data collection from a variety of clinical and nonclinical settings. Compared with recording using a tablet direct, a headset microphone controls for recording distance and reduces the effects of background noise, resulting in decreased variability in recording quality., Data Availability: Data supporting the results reported in this article may be obtained upon request from the contact author., Competing Interests: Declaration of Competing Interest Nothing to disclose., (Copyright © 2024 The Voice Foundation. Published by Elsevier Inc. All rights reserved.)

Clinical artificial intelligence (AI) methods have been proposed for predicting social behaviors which could be reasonably understood from patient-reported data. This raises ethical concerns about respect, privacy, and patient awareness/control over how their health data is used. Ethical concerns surrounding clinical AI systems for social behavior verification were divided into three main categories: (1) the use of patient data retrospectively without informed consent for the specific task of verification, (2) the potential for inaccuracies or biases within such systems, and (3) the impact on trust in patient-provider relationships with the introduction of automated AI systems for fact-checking. Additionally, this report showed the simulated misuse of a verification system and identified a potential LLM bias against patient-reported information in favor of multimodal data, published literature, and the outputs of other AI methods (i.e., AI self-trust). Finally, recommendations were presented for mitigating the risk that AI verification systems will cause harm to patients or undermine the purpose of the healthcare system.

Objective: Bilateral vocal fold paralysis (BVFP) and posterior glottic stenosis (PGS) are causes of bilateral vocal fold immobility (BVFI) and may cause shortness of breath, stridor, and need for surgical intervention. Although increased body mass index (BMI) is associated with restrictive breathing patterns in patients with normal upper airways, it is unclear how BMI impacts dyspnea and need for surgical intervention in BVFI patients., Study Design: Retrospective cohort study., Setting: Three tertiary academic centers in the United States., Methods: Demographics, BMI, Dyspnea Index (DI), etiology, presence of tracheostomy and surgical intervention (dilation, tracheostomy, cordotomy, arytenoidectomy, open reconstruction) were collected. Primary outcomes included dyspnea measured by DI and need for surgery to improve airway. Linear regressions were performed to assess continuous outcomes. Mann-Whitney U-test was utilized to assess categorical outcomes., Results: Among 121 patients, 52 presented with BVFP and 69 with PGS. Previous neck surgery was the most common cause of BVFI (40.2%). 44.3% of patients received a tracheostomy. Through multivariate linear regression, increased BMI was significantly associated with increased DI in the entire cohort (β = .43, P = .016). Increased BMI was also associated with need for any surgical intervention (odds ratio [OR] = 1.07, 95% confidence interval [CI] = [1.01-1.13]) in the overall cohort. When stratifying our data, BMI was only significantly associated with DI in BVFP (β = .496) and need for surgical intervention in PGS (OR = 1.11, 95% CI = [1.01-1.21]), although a positive trend was seen in all analyses., Conclusion: Increased BMI may correlate with worsening dyspnea symptoms and need for surgical intervention in patients with BVFI. Weight-loss-related counseling may benefit symptom management., (© 2024 American Academy of Otolaryngology–Head and Neck Surgery Foundation.)

Objective: Vocal fold injection medialization (VFIM) is widely used as an initial treatment for unilateral vocal fold paralysis (UVFP). Current practices employ materials that share the limitation of temporary clinical effect from variable resorption rates. A novel silk protein microparticle-hyaluronic acid-based material (silk-HA) has demonstrated cellular infiltration and tissue deposition that may portend a durable medialization effect. We report on ≥12 months outcomes after VFIM with silk-HA., Methods: Prospective open-label study of patients with UVFP that elected treatment with VFIM with silk-HA. Blinded experts rated laryngeal stroboscopic exams., Results: Seventeen patients with UVFP underwent VFIM with silk-HA. Twelve of the 17 patients have ≥12 months follow-up. Seven patients demonstrated durable treatment benefit ≥12 months after injection with median improvement of 19 (p = 0.0156) in VHI-10. There was no significant change in VHI-10 between 1 and 12 months for these patients. Blinded ratings indicated that 5/7 patients with sustained improvements in VHI-10 exhibited complete or touch glottal closure at 12 months. Two of the seven patients exhibited a small (<1 mm) glottal gap at 12 months. Seven patients experienced initial benefit with later regression 3-4 months after injection., Conclusion: VFIM with silk-HA can offer durable improvement in voice-related outcomes for UVFP past 12 months. A subset of patients treated with silk-HA experienced early loss of effect around 3-4 months postinjection. Clinical factors predictive of sustained treatment response to silk-HA injection require further exploration., Level of Evidence: 3 Laryngoscope, 134:3679-3685, 2024., (© 2023 The Authors. The Laryngoscope published by Wiley Periodicals LLC on behalf of The American Laryngological, Rhinological and Otological Society, Inc.)

Background: Anastomotic leak after tracheal resection may occur while coughing in the early postoperative period. We investigated the varying effects of suturing technique, stretch, and tension on anastomotic leaks during simulated coughs., Methods: End-to-end anastomoses were performed using continuous or interrupted sutures on excised porcine larynges. Tracheas were secured to a pressurized system simulating cough forces, submerged in a water bath, and stretched to 1, 2, and 3 cm above baseline. Peak pressure, incomplete cough generation, and observed leakages were recorded. Parameters were analyzed using Analysis of Variance (ANOVA), multiple linear regression, and logistic regression modeling., Results: Peak tension (B = -0.660, p < 0.001) and stretch lengths (B = -0.329, p = 0.006) were associated with variance in peak pressure (R 2  = 0.77, F(3,294) = 8.182, p < 0.001). Incomplete coughs increased with higher peak tension (odds ratio [OR] = 15.627, p < 0.001) and stretching to 3 cm above baseline (OR = 4.335, p < 0.007). Similarly, leak occurrences, primarily from the posterior tracheal wall, increased with higher peak tension (OR = 1.787, p < 0.001) and stretching to 3 cm (OR = 2.613, p = 0.017). No significance was identified with suturing technique., Conclusion: Interrupted and continuous suture techniques do not differ in anastomotic strength during simulated coughs. Increased peak tracheal tension is associated with a weaker anastomosis, and tracheal stretch to 3 cm was associated with a weaker anastomosis. Our study supports the commonly held clinical belief that, to create a stronger anastomosis, tension should be minimized, and particular attention should be placed at the posterior tracheal wall during closure., Level of Evidence: N/A, Benchtop study Laryngoscope, 2024., (© 2024 The Author(s). The Laryngoscope published by Wiley Periodicals LLC on behalf of The American Laryngological, Rhinological and Otological Society, Inc.)

Objective: Voice as a health biomarker using artificial intelligence (AI) is gaining momentum in research. The noninvasiveness of voice data collection through accessible technology (such as smartphones, telehealth, and ambient recordings) or within clinical contexts means voice AI may help address health disparities and promote the inclusion of marginalized communities. However, the development of AI-ready voice datasets free from bias and discrimination is a complex task. The objective of this study is to better understand the perspectives of engaged and interested stakeholders regarding ethical and trustworthy voice AI, to inform both further ethical inquiry and technology innovation., Methods: A questionnaire was administered to voice AI experts, clinicians, scholars, patients, trainees, and policy-makers who participated at the 2023 Voice AI Symposium organized by the Bridge2AI-Voice AI Consortium. The survey used a mix of Likert scale, ranking and open-ended questions. A total of 27 stakeholders participated in the study., Results: The main results of the study are the identification of priorities in terms of ethical issues, an initial definition of ethically sourced data for voice AI, insights into the use of synthetic voice data, and proposals for acting on the trustworthiness of voice AI. The study shows a diversity of perspectives and adds nuance to the planning and development of ethical and trustworthy voice AI., Conclusions: This study represents the first stakeholder survey related to voice as a biomarker of health published to date. This study sheds light on the critical importance of ethics and trustworthiness in the development of voice AI technologies for health applications., Competing Interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2024.)

Introduction: Awake injection laryngoplasty (IL) is becoming increasingly utilized in the inpatient setting, especially as a therapeutic option for patients with vocal fold immobility immediately following cardiothoracic surgery. While prior studies consistently demonstrate complication rates below 3%, significant bleeding has not been reported as a major complication in any awake IL case series. The objective of this report is to highlight a case of intractable bleeding following awake inpatient bedside IL in a patient on KVAD (Koji Takeda Ventricular Assist Device) extracorporeal membrane oxygenation (ECMO)., Methods: Case Report., Results: A 24-year-old female admitted to the cardiac ICU for asystole was placed on KVAD ECMO for heart failure of unknown etiology. She was extubated and listed for cardiac transplant. On postoperative day 14, she underwent a left vocal fold injection at bedside to treat fold paralysis with a large glottic gap causing her complete aphonia, dysphagia, and chronic aspiration. Seven hours post procedure, the patient had to be reintubated due to intractable bleeding. A direct laryngoscopy was performed at bedside and continuous trickle of blood from the injection site at the superior posterior lateral surface of the vocal fold was stopped using a combination of epi-pledgets and hemostatic matrix. The same procedure had to be performed again due to further bleeding 2 days later and permanent hemostasis was achieved. During the week post injection, the patient required transfusion of 5 units of pRBC's. One month later the patient underwent successful orthotopic heart transplantation and was transferred from the ICU to a stepdown unit, and then a rehabilitation unit. No further IL hemorrhage occurred., Conclusion: Although a few studies have discussed the safety of IL in patients receiving anticoagulation, this case report demonstrates intractable bleeding requiring intubation and intervention to achieve hemostasis in a patient on KVAD ECMO. This report highlights the importance of weighing the risks and benefits of vocal fold injection in this patient population., Competing Interests: Conflicts of interest None., (Copyright © 2022 The Voice Foundation. Published by Elsevier Inc. All rights reserved.)

Purpose: The goal of this study was to assess various recording methods, including combinations of high- versus low-cost microphones, recording interfaces, and smartphones in terms of their ability to produce commonly used time- and spectral-based voice measurements., Method: Twenty-four vowel samples representing a diversity of voice quality deviations and severities from a wide age range of male and female speakers were played via a head-and-thorax model and recorded using a high-cost, research standard GRAS 40AF (GRAS Sound & Vibration) microphone and amplification system. Additional recordings were made using various combinations of headset microphones (AKG C555 L [AKG Acoustics GmbH], Shure SM35-XLR [Shure Incorporated], AVID AE-36 [AVID Products, Inc.]) and audio interfaces (Focusrite Scarlett 2i2 [Focusrite Audio Engineering Ltd.] and PC, Focusrite and smartphone, smartphone via a TRRS adapter), as well as smartphones direct (Apple iPhone 13 Pro, Google Pixel 6) using their built-in microphones. The effect of background noise from four different room conditions was also evaluated. Vowel samples were analyzed for measures of fundamental frequency, perturbation, cepstral peak prominence, and spectral tilt (low vs. high spectral ratio)., Results: Results show that a wide variety of recording methods, including smartphones with and without a low-cost headset microphone, can effectively track the wide range of acoustic characteristics in a diverse set of typical and disordered voice samples. Although significant differences in acoustic measures of voice may be observed, the presence of extremely strong correlations ( r s > .90) with the recording standard implies a strong linear relationship between the results of different methods that may be used to predict and adjust any observed differences in measurement results., Conclusion: Because handheld smartphone distance and positioning may be highly variable when used in actual clinical recording situations, smartphone + a low-cost headset microphone is recommended as an affordable recording method that controls mouth-to-microphone distance and positioning and allows both hands to be available for manipulation of the smartphone device.

Introduction: Accuracy and validity of voice AI algorithms rely on substantial quality voice data. Although commensurable amounts of voice data are captured daily in voice centers across North America, there is no standardized protocol for acoustic data management, which limits the usability of these datasets for voice artificial intelligence (AI) research., Objective: The aim was to capture current practices of voice data collection, storage, analysis, and perceived limitations to collaborative voice research., Methods: A 30-question online survey was developed with expert guidance from the voicecollab.ai members, an international collaborative of voice AI researchers. The survey was disseminated via REDCap to an estimated 200 practitioners at North American voice centers. Survey questions assessed respondents' current practices in terms of acoustic data collection, storage, and retrieval as well as limitations to collaborative voice research., Results: Seventy-two respondents completed the survey of which 81.7% were laryngologists and 18.3% were speech language pathologists (SLPs). Eighteen percent of respondents reported seeing 40%-60% and 55% reported seeing >60 patients with voice disorders weekly (conservative estimate of over 4000 patients/week). Only 28% of respondents reported utilizing standardized protocols for collection and storage of acoustic data. Although, 87% of respondents conduct voice research, only 38% of respondents report doing so on a multi-institutional level. Perceived limitations to conducting collaborative voice research include lack of standardized methodology for collection (30%) and lack of human resources to prepare and label voice data adequately (55%)., Conclusion: To conduct large-scale multi-institutional voice research with AI, there is a pertinent need for standardization of acoustic data management, as well as an infrastructure for secure and efficient data sharing., Level of Evidence: 5 Laryngoscope, 134:1333-1339, 2024., (© 2023 The American Laryngological, Rhinological and Otological Society, Inc.)

Background: As the main objective outcome measure used in gender-affirming voice care (GAVC), fundamental frequency (f 0 ) often fails to accurately reflect patient perceptions of their voice. Our team developed an artificial intelligence (AI) program that provides an alternative objective outcome measure that has the potential to more accurately align with patient perceptions., Objective: To gauge stakeholder receptivity to the use of AI in GAVC before employing a novel outcome measure in transgender and nonbinary communities., Methods: This prospective qualitative study used online focus groups composed of speech-language pathologists (SLPs), transgender men (TGM), transgender women (TGW), and nonbinary (NB) individuals. Participant age, race, gender, and geographic location were recorded. Each cohort participated in a series of two focus group sessions. The first session focused on participant experiences in GAVC, whereas the second ascertained participant perspectives on the use of AI in GAVC. Transcripts of each discussion were coded using Nvivo to perform inductive thematic analysis., Results: Seven SLPs, seven TGW, three TGM, and two NB individuals (mean [range] age, 35.5 [26-48] years) participated. Transgender and nonbinary participants were generally amenable to the technology, whereas SLPs were more hesitant about its use. Positive findings included appreciation for AI as an objective outcome measure and enthusiasm for its potential to longitudinally track progress. Hesitations concerned the actionability of using the AI and unease about the black box nature of the AI's analysis., Conclusion: Transgender and NB individuals were receptive to the use of AI technology in GAVC, whereas SLPs were more apprehensive about using AI., Level of Evidence: NA Laryngoscope, 133:1698-1705, 2023., (© 2022 The American Laryngological, Rhinological and Otological Society, Inc.)

Objective: The objective of this work was to assess the effect of a single intralesional subglottic steroid injection on fasting blood glucose over 7 days in a cohort of patients with subglottic stenosis., Methods: A prospective cohort study of patients undergoing intralesional steroid injections at a tertiary academic center. Patients had baseline bloodwork performed, including fasting blood glucose (FBG), and hemoglobin A1C levels. Demographic data and risk factors were collected. Fasting capillary glucose (FCG) was measured using a capillary glucometer and performed by patients daily from days 0 to 7 after a single injection of Triamcinolone into the subglottic airway. Data were analyzed using descriptive and comparative statistics., Results: Eleven patients were enrolled, and 10 completed data collection over 7 days. All were female, with a mean age of 52.6 years (SD 17.5). Two patients were diabetic (non-insulin dependent). There was a statistically significant increase in FCG on day 1 post-injection (mean = 122.4 mg/dl compared to 100.7 mg/dl) that normalized for all patients within 24-72 h. The mean increase in FCG was 21.5% (SD 22.5%) of the initial value for the cohort. The diabetic group had statistically significant higher glucose values on day 1 compared to the non-diabetic group (146.5 mg/dl compared to 117.0 mg/dl)., Conclusion: A single subglottic steroid injection appears to cause a transient increase in FCG 1 day post injection, which resolves after 24-72 h and can be more pronounced in diabetic patients., Level of Evidence: 4 Laryngoscope, 133:1590-1594, 2023., (© 2022 The Authors. The Laryngoscope published by Wiley Periodicals LLC on behalf of The American Laryngological, Rhinological and Otological Society, Inc.)

Objective: Idiopathic subglottic stenosis (iSGS) is a rare condition involving the subglottic larynx and upper trachea, commonly affecting Caucasian females between 30 and 50 years of age. Despite its homogeneous presentation, clinical management for iSGS is yet to be standardized, leading to variability in outcomes between predominant interventions. In recognition of the heterogenicity in iSGS treatment and the need to improve patient outcomes, this study aimed to survey laryngologists to understand the factors influencing clinical decision-making and the incorporation of new treatment modalities for iSGS., Methods: An online survey was sent to 145 academic laryngologists. The survey assessed respondents' professional backgrounds, experience treating iSGS, treatment algorithms, and how various patient factors affect management., Results: Of the 87 (60%) laryngologists who responded to the survey, the most common clinical assessments were tracheoscopy/bronchoscopy (96.8%) and pulmonary function tests (43.6%). Endoscopic dilation (ED) was the most common primary treatment offered (97.5%): 28.7% of surveyed laryngologists offer SISI as a primary treatment, and 74.7% perform SISI as a planned postoperative treatment. The most common SISI protocol was repeated injections every 4-6 weeks for a series of 1-3 total injections. Notably, 9.2% perform the Maddern procedure. Routine algorithms of care involving surgery were most often based on prior experience and prior patient outcomes (75.9%) and conversations with colleagues (64.4%). Only 31% report using the same protocol learned during their fellowship training., Conclusion: This survey highlights significant variation in the management of patients with iSGS. Understanding the factors that influence decision-making may lead to potential standardization in heterogeneous treatment approaches and may improve clinical outcomes., Level of Evidence: 5 Laryngoscope, 134:865-872, 2024., (© 2023 The Authors. The Laryngoscope published by Wiley Periodicals LLC on behalf of The American Laryngological, Rhinological and Otological Society, Inc.)

Objectives: There is currently a lack of objective treatment outcome measures for transgender individuals undergoing gender-affirming voice care. Recently, Bensoussan et al developed an AI model that is able to generate a voice femininity rating based on a short voice sample provided through a smartphone application. The purpose of this study was to examine the feasibility of using this model as a treatment outcome measure by comparing its performance to human listeners. Additionally, we examined the effect of two different training datasets on the model's accuracy and performance when presented with external data., Methods: 100 voice recordings from 50 cisgender males and 50 cisgender females were retrospectively collected from patients presenting at a university voice clinic for reasons other than dysphonia. The recordings were evaluated by expert and naïve human listeners, who rated each voice based on how sure they were the voice belonged to a female speaker (% voice femininity [R]). Human ratings were compared to ratings generated by (1) the AI model trained on a high-quality low-quantity dataset (voices from the Perceptual Voice Quality Database) (PVQD model), and (2) the AI model trained on a low-quality high-quantity dataset (voices from the Mozilla Common Voice database) (Mozilla model). Ambiguity scores were calculated as the absolute value of the difference between the rating and certainty (0 or 100%)., Results: Both expert and naïve listeners achieved 100% accuracy in identifying voice gender based on a binary classification (female >50% voice femininity [R]). In comparison, the Mozilla-trained model achieved 92% accuracy and the previously published PVQD model achieved 84% accuracy in determining voice gender (female >50% AI voice femininity). While both AI models correlated with human ratings, the Mozilla-trained model showed a stronger correlation as well as lower overall rating ambiguity than the PVQD-trained model. The Mozilla model also appeared to handle pitch information in a similar way to human raters., Conclusions: The AI model predicted voice gender with high accuracy when compared to human listeners and has potential as a useful outcome measure for transgender individuals receiving gender-affirming voice training. The Mozilla-trained model performed better than the PVQD-trained model, indicating that for binary classification tasks, the quantity of data may influence accuracy more than the quality of the data used for training the voice AI models., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests., (Copyright © 2023 The Voice Foundation. Published by Elsevier Inc. All rights reserved.)

Background: Machine learning (ML) analysis of biometric data in non-controlled environments is underexplored., Objective: To evaluate whether ML analysis of physical activity data can be employed to classify whether individuals have postural dysfunction in middle-aged and older individuals., Methods: A 1 week period of physical activity was measured by a waist-worn uni-axial accelerometer during the 2003-2004 National Health and Nutrition Examination Survey sampling period. Features of physical activity along with basic demographic information (42 variables) were paired with ML models to predict the success or failure of a standard 30 s modified Romberg test during which participants had their eyes closed and stood upon a 3-inch compliant surface. Model performance was evaluated by area under the receiver operating characteristic curve (AUC-ROC), balanced accuracy, and F1-score., Results: The cohort was comprised of 1625 participants ≥40 years (median age 61, IQR 51-71). Approximately half (47%) were diagnosed with postural dysfunction having failed the binarized (pass/fail) scoring mechanism of the modified Romberg exam. Five ML models were trained on the classification task, achieving AUC values ranging from 0.67 to 0.73. The support vector machine (SVM) and a gradient-boosted model, XGBoost, achieved the highest AUC of 0.73 (SD 0.71-0.75). Age was the most important variable for SVM classification, followed by four features that evaluated accelerometer counts at various thresholds, including those delineating total, moderate, and moderate-vigorous activity., Conclusions: ML analysis of accelerometer-derived physical activity data to classify postural dysfunction in middle-aged and older individuals is feasible in real-world environments such as the home., Level of Evidence: 3 Laryngoscope, 133:3529-3533, 2023., (© 2023 The Authors. The Laryngoscope published by Wiley Periodicals LLC on behalf of The American Laryngological, Rhinological and Otological Society, Inc.)

Objective: Currently, no classification system exists to grade the severity of supraglottic stenosis. The aim of this investigation was to (1) develop a novel grading system for supraglottic stenosis that can both enhance communication between providers and relay information about patient functional status and (2) determine the reliability of the grading system., Methods: A retrospective analysis of patients with supraglottic stenosis at three institutions from 2010-2021 was conducted. After demographic data were collected, two focus group meetings of five laryngologists were held to develop a grading system based on functional status and morphology of stenosis seen on laryngoscopy. Three laryngologists then used the grading system to rate 20 case examples of supraglottic stenosis. Quadratic-weighted kappa coefficients were calculated to assess inter-rater and intra-rater reliabilities of the novel grading system., Results: Twenty-eight patients were included. Epiglottic and arytenoid fixation were morphological features associated with worse functional outcomes such as requiring a G-tube or a tracheostomy, respectively. Inter-rater reliability was substantial to almost perfect (Kw = 0.79-0.81) and intra-rater reliability was almost perfect for all raters (0.88-1.0) when using the novel grading system., Conclusion: A grading system for supraglottic stenosis has been proposed with strong inter-rater and intra-rater reliabilities. The proposed system has the advantage of being descriptive of both patient functionality and morphology of the stenosis., Level of Evidence: 3-According to the Oxford Center for Evidence-Based Medicine 2011 level of evidence guidelines, this non-randomized retrospective cohort study is classified as level 3 evidence Laryngoscope, 133:1442-1447, 2023., (© 2022 The American Laryngological, Rhinological and Otological Society, Inc.)

Importance: Patients undergoing tracheal resection commonly experience dysphagia postoperatively, and the patient factors that predict severity and duration of symptoms are currently unclear., Objective: To determine the association of patient and surgical factors on postoperative dysphagia in adult patients undergoing tracheal resection., Design, Setting, and Participants: This was a retrospective cohort study of patients undergoing tracheal resection at 2 tertiary academic centers from February 2014 to May 2021. The centers included LAC+USC (Los Angeles County + University of Southern California) Medical Center and Keck Hospital of USC, both tertiary care academic institutions. Patients involved in the study underwent a tracheal or cricotracheal resection., Exposures: Tracheal or cricotracheal resection., Main Outcomes and Measures: The main outcome was dysphagia symptoms as measured by the functional oral intake scale (FOIS) on postoperative days (PODs) 3, 5, and 7, on the day of discharge, and at the 1-month follow-up visit. Demographics, medical comorbidities, and surgical factors were evaluated for association with FOIS scores at each time period using Kendall rank correlation and Cliff delta., Results: The study cohort consisted of 54 patients, with a mean (SD) age of 47 (15.7) years old, of whom 34 (63%) were male. Length of resection segment ranged from 2 to 6 cm, with a mean (SD) length of 3.8 (1.2) cm. The median (range) FOIS score was 4 (1-7) on PODs 3, 5, 7. On the day of discharge and at 1-month postoperative follow-up, the median (range) FOIS score was 5 (1-7) and 7 (1-7), respectively. Increasing patient age was moderately associated with decreasing FOIS scores at all measured time points (τ = -0.33; 95% CI, -0.51 to -0.15 on POD 3; τ = -0.38; 95% CI, -0.55 to -0.21 on POD 5; τ = -0.33; 95% CI, -0.58 to -0.08 on POD 7; τ = -0.22; 95% CI, -0.42 to -0.01 on day of discharge; and τ = -0.31; 95% CI, -0.53 to -0.09 at 1-month follow-up visit). History of neurological disease, including traumatic brain injury and intraoperative hyoid release, was not associated with FOIS score at any of the measured time points (δ = 0.03; 95% CI, -0.31 to 0.36 on POD 3; δ = 0.11; 95% CI, -0.28 to 0.47 on POD 5, δ = 0.3; 95% CI, -0.25 to 0.70 on POD 7; δ = 0.15; 95% CI, -0.24 to 0.51 on the day of discharge, and δ = 0.27; 95% CI, -0.05 to 0.53 at follow-up). Resection length was also not correlated with FOIS score with τ ranging from -0.04 to -0.23., Conclusions and Relevance: In this retrospective cohort study, most patients undergoing tracheal or cricotracheal resection experienced full resolution of dysphagia symptoms within the initial follow-up period. During preoperative patient selection and counseling, physicians should consider that older adult patients will experience greater severity of dysphagia throughout their postoperative course and delayed resolution of symptoms.

Background: Vocal fold injection augmentation (VFI) is a common procedure for the treatment of glottic insufficiency. Material options for VFI and decisions regarding material selection are not standardized and often based on clinician preference., Objective: This study aims to understand the variations in provider preference and utilization of injectable materials for VFI., Methods: A 40-question survey was sent to 158 academic laryngologists. Questions pertained to the type of injectable materials used including brand preferences and rationale for preferences., Results: Ninety-seven of the 158 laryngologists contacted participated in the survey (61.4%). The most frequently used injectable materials were Hyaluronic Acid (HA)-based products. Carboxymethylcellulose (CMC)-based products were preferred for trial augmentation (57.2%), HA-based products were preferred for acute/subacute vocal fold paralysis, presbyphonia, and sulcus/scar (54.2%, 61.5%, 44.7%, 41.7% respectively), and Calcium Hydroxyapatite (CaHA)-based products were preferred for long-term paralysis (28.1%). CMC-based products were discontinued by 21.8% of participants, largely due to quick material resorption. 17.8% of participants discontinued HA-based products largely due to adverse events and 26.0% abandoned CaHA-based products mostly due to inflammatory properties causing vocal fold stiffness and material unpredictability. Over 30% of respondents reported wanting to reinitiate micronized alloderm Cymetra® as an available injectable., Conclusion: Our survey demonstrated that there are significant variations in practice and preferences in regard to injectable material selection for VFI. As there is limited data on the direct material comparison, understanding the rationale behind these variations is crucial to guide new providers in material selection and provide information to patients undergoing these procedures., Level of Evidence: 5 Laryngoscope, 133:1176-1183, 2023., (© 2022 The Authors. The Laryngoscope published by Wiley Periodicals LLC on behalf of The American Laryngological, Rhinological and Otological Society, Inc.)

Background: Tracheotomy is a common procedure for otolaryngologists. The risk of complications is difficult to predict. This study aims to identify measurable preoperative indicators associated with adverse events following tracheotomy., Methods: The charts of adults undergoing tracheotomy for respiratory failure at one of four university-affiliated hospitals between 1/2012 and 8/2018 were reviewed. Complications were analyzed in the context of demographics, physiologic parameters, and comorbidities., Results: Among 507 tracheotomies performed, the most common complications included infection, bleeding, and cardiac arrest. Mortality was 39 % in patients with pulmonary hypertension, 42 % in those with ejection fraction ≤ 40 and 32 % in those with abnormal right ventricular function, double the rates in patients without each of these findings., Conclusion: Many critically ill tracheotomy patients experience significant rates of adverse events. Risk factors for mortality include ejection fraction ≤ 40, pulmonary hypertension, and abnormal ventricular function. These should be considered for use in preoperative counseling., Competing Interests: Conflict of interest The authors declare that there is no conflict of interest., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Objective: This state of the art review aims to examine contemporary advances in applications of artificial intelligence (AI) to the screening, detection, management, and prognostication of laryngeal cancer (LC)., Data Sources: Four bibliographic databases were searched: PubMed, EMBASE, Cochrane, and IEEE., Review Methods: A structured review of the current literature (up to January 2022) was performed. Search terms related to topics of AI in LC were identified and queried by 2 independent reviewers. Citations of selected studies and review articles were also evaluated to ensure comprehensiveness., Conclusions: AI applications in LC have encompassed a variety of data modalities, including radiomics, genomics, acoustics, clinical data, and videomics, to support screening, diagnosis, therapeutic decision making, and prognosis. However, most studies remain at the proof-of-concept level, as AI algorithms are trained on single-institution databases with limited data sets and a single data modality., Implications for Practice: AI algorithms in LC will need to be trained on large multi-institutional data sets and integrate multimodal data for optimal performance and clinical utility from screening to prognosis. Out of the data types reviewed, genomics has the most potential to provide generalizable models thanks to available large multi-institutional open access genomic data sets. Voice acoustic data represent an inexpensive and accurate biomarker, which is easy and noninvasive to capture, offering a unique opportunity for screening and monitoring of LA, especially in low-resource settings., (© 2022 American Academy of Otolaryngology-Head and Neck Surgery Foundation.)

Objectives/hypothesis: An artificial intelligence (AI) tool was developed using audio clips of cis-male and cis-female voices based on spectral analysis to assess %probability of a voice being perceived as female (%Prob♀). This program was validated with 92% accuracy in cisgender speakers. The aim of the study was to assess the relationship of f o on %Prob♀ by a validated AI tool in a cohort of trans females who underwent intervention to feminize their voice with behavioral modification and/or surgery., Study Design: Cohort study., Methods: Fundamental frequency (f o ) from prolonged vowel sounds (f o /a/) and f o from spontaneous speech (f o -sp) were measured using the Kay Pentax Computerized Speech Lab (Montvale, NJ) in trans females postintervention. The same voice samples were analyzed by the AI tool for %Prob♀. Chi-square analysis and regression models were performed accepting >50% Prob♀ as female voice., Results: Forty-two patients were available for analysis after intervention. f o -sp post-treatment was positively correlated with %Prob♀ (R = 0.645 [P < .001]). Chi-square analysis showed a significant association between AI %Prob♀ >50% for the speech samples and f o -sp >160 Hz (P < .01). Sixteen of 42 patients reached an f o -sp >160 Hz. Of these, the AI program only perceived nine patients as female (>50 %Prob♀)., Conclusion: Patients with f o -sp >160 Hz after feminization treatments are not necessarily perceived as having a high probability of being female by a validated AI tool. AI may represent a useful outcome measurement tool for patients undergoing gender affirming voice care., Level of Evidence: 3 Laryngoscope, 131:2567-2571, 2021., (© 2021 The American Laryngological, Rhinological and Otological Society, Inc.)

Objectives/hypothesis: The need for gender-affirming voice care has been increasing in the transgender population in the last decade. Currently, objective treatment outcome measurements are lacking to assess the success of these interventions. This study uses neural network models to predict binary gender from short audio samples of "male" and "female" voices. This preliminary work is a proof-of-concept for further work to develop an AI-assisted treatment outcome measure for gender-affirming voice care., Study Design: Retrospective cohort study., Methods: Two hundred seventy-eight voices from male and female speakers from the Perceptual Voice Qualities Database were used to train a deep neural network to classify voices as male or female. Each audio sample was mapped to the frequency domain using Mel spectrograms. To optimize model performance, we performed 10-fold cross validation of the entire dataset. The dataset was split into 80% training, 10% validation, and 10% test., Results: Overall accuracy of 92% was obtained, both when considering the accuracy per spectrum and per patient metric. The accuracy of the model was higher for recognizing female voices (F1 score of 0.94) compared to male voices (F1 score of 0.87)., Conclusions: This proof of concept study shows promising performance for further development of an AI-assisted tool to provide objective treatment outcome measurements for gender affirming voice care., Level of Evidence: 3 Laryngoscope, 131:E1611-E1615, 2021., (© 2020 American Laryngological, Rhinological and Otological Society Inc, "The Triological Society" and American Laryngological Association (ALA).)

Purpose: Nasopharyngeal airways (NPA) are commonly used to relieve upper airway obstruction in children. They must be sized to extend posterior to the tongue base but remain above the epiglottis. To avoid obstruction from nasal secretions, frequent irrigation with saline is required. We hypothesized that NPAs would swell when exposed to saline irrigation., Methods: Twenty-five green Rusch NPA size 12, 14, 16, 18 and 20 Fr were submerged in 2 L of normal saline for 15 days. Tube length, inner diameter, outer diameter and wall thickness were measured on days 1,2,3,4,5,10, and 15 and compared using two-way repeated measures ANOVA and paired t-tests with Bonferroni correction., Results: All dimensions increased significantly with exposure to saline. Increases in length, inner diameter, outer diameter and wall thickness were dependent on original tube size (p < 0.05) and duration of exposure to saline (p < 0.001). The increase in tube length was greatest over the first five days., Conclusion: NPAs expand significantly when exposed to saline with the greatest increase in length occurring in the first five days. This could lead to gagging or airway obstruction in small children. Patients with NPAs should be monitored closely for these signs and new materials should be sourced to prevent these issues., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Objective To review complications of in-office endoscopic laryngeal laser procedures after implementation of standardized safety protocol. Methods A retrospective review was conducted of the first 2 years of in-office laser procedures at St Michaels Hospital after the introduction of a standardized safety protocol. The protocol included patient screening, procedure checklist with standardized reporting of processes, medications, and complications. Primary outcomes measured were complication rates of in-office laryngeal laser procedures. Secondary outcomes included hemodynamic changes, local anesthetic dose, laser settings, total laser/procedure time, and incidence of sedation. Results A total of 145 in-office KTP procedures performed on 65 patients were reviewed. In 98% of cases, the safety protocol was fully implemented. The overall complication rate was 4.8%. No major complications were encountered. Minor complications included vasovagal episodes and patient intolerance. The rate of patient intolerance resulting early termination of anticipated procedure was 13.1%. Total local anesthetic dose averaged 172.9 mg lidocaine per procedure. The mean amount of laser energy dispersed was 261.2 J, with mean total procedure time of 48.3 minutes. Sixteen percent of patients had preprocedure sedation. Vital signs were found to vary modestly. Systolic blood pressure was lower postprocedure in 13.8% and symptomatic in 4.1%. Discussion The review of our standardized safety protocol has revealed that in-office laser treatment for laryngeal pathology has extremely low complication rates with safe patient outcomes. Implications for Practice The trend of shifting procedures out of the operating room into the office/clinic setting requires new processes designed to promote patient safety.

Background: The advent of chip tip technology combined with advanced endoscopy has revolutionized the field of laryngology in the past decade. Procedures such as transnasal esophagoscopy, site-specific steroid injections, injection laryngoplasty and laryngeal laser treatment can now be performed in the office setting under local anaesthesia. Although In-Office Laryngeal Procedures (IOLPs) have become standard-of-care in many American and several Canadian centers, there are no guidelines regulating the practice of these procedures. The goal of this report was to evaluate the current method of IOLP delivery in Canada., Methods: An electronic survey was dispersed to 22 practicing Canadian laryngologists to assess safety and procedural care measures undertaken when performing IOLP. The survey consisted of 37 questions divided into 6 categories; 1) Demographic data 2) Facilities 3) Staff/personnel 4) Patient screening/monitoring 5) Procedure and emergency equipment 6) Reporting of adverse events., Results: Data was collected for 16/22 laryngologists (72.7% response rate). Only 1 respondent did not perform IOLP. All performed injection augmentation laryngoplasty. Most performed laryngeal biopsies, intramuscular injection and/or electromyography guided injection for the treatment of spasmodic dysphonia and glottic/subglottic steroid injections. Only 4 respondents performed in-office KTP laser. Significant variation was found in procedural processes including intra procedural monitoring, anticoagulation screening, access to emergency equipment and documentation., Conclusion: Our survey demonstrates that the delivery of IOLP in Canada varies considerably. The construct of IOLP practice guidelines based on the evidence with consistent documentation would promote safe, efficient and quality care for patient with voice disorders.

Background: Many nerve injuries have been associated with Eagle syndrome. The cranial nerves V, VII, IX, and X have been reported to be injured by the elongated styloid process in this syndrome., Methods: We describe a case of Eagle syndrome with atypical symptoms of hypoglossal nerve palsy and Horner syndrome., Results: A 56-year-old woman presented with right hypoglossal nerve palsy, right Horner syndrome, right neck pain, and symptoms mimicking transient cerebral ischemia. An angioscan showed elongated styloid process bilaterally with the right process compressing the right carotid artery causing a 75% stenosis. After an en bloc resection of the right styloid process, there were no further episodes of paresthesias. The neck pain completely disappeared, as well as the Horner syndrome. As for the hemitongue, the fasciculations disappeared but the atrophy remained., Conclusion: This is the first Eagle syndrome case report describing a motor paralysis of a cranial nerve., (© 2014 Wiley Periodicals, Inc.)

Simple Summary: This study aimed to enhance the accuracy of detecting laryngeal carcinoma using a modified AI model based on U-Net. The model was designed to automatically identify lesions in endoscopic images. Researchers addressed issues such as mode collapse and gradient explosion to ensure stable performance, achieving 99% accuracy in detecting malignancies. The study found that malignant tumors were detected more reliably than benign ones. This technology could help reduce human error in diagnoses, allowing for earlier detection and treatment. Furthermore, it has the potential to be applied in other medical fields, benefiting overall healthcare. This study modifies the U-Net architecture for pixel-based segmentation to automatically classify lesions in laryngeal endoscopic images. The advanced U-Net incorporates five-level encoders and decoders, with an autoencoder layer to derive latent vectors representing the image characteristics. To enhance performance, a WGAN was implemented to address common issues such as mode collapse and gradient explosion found in traditional GANs. The dataset consisted of 8171 images labeled with polygons in seven colors. Evaluation metrics, including the F1 score and intersection over union, revealed that benign tumors were detected with lower accuracy compared to other lesions, while cancers achieved notably high accuracy. The model demonstrated an overall accuracy rate of 99%. This enhanced U-Net model shows strong potential in improving cancer detection, reducing diagnostic errors, and enhancing early diagnosis in medical applications. [ABSTRACT FROM AUTHOR]

Reduced sensitivity within a constrained frequency range has been linked to decentralized control, particularly in cases where the multivariable system exhibits weak coupling, such as being ultimately diagonally dominant, particularly at high frequencies. Presented is an innovative control method named B-control aimed at achieving decentralized control, focusing on crafting a high-gain diagonal compensator customized for a multi-input-multi-output (MIMO) frequency response system that is both unstable and invertible. This approach integrates quasi-linear control with sensitivity considerations, offering the advantage of simultaneous optimization in both the time and frequency domains. The proposed method results in less conservative controller gains determined by leveraging the multivariable Nyquist criteria, thus enhancing practicality. Robust stability and adaptive control schemes can also benefit from the advantages of the B-control method. [ABSTRACT FROM AUTHOR]

Introduction: Anxiety is an individual psychological feature of a person, the optimal level of which is adaptive. The quality of life is an integral characteristic of physical, emotional and social functioning of a person, determined by various factors. The research presents data on the insufficiently studied complex "quality of life - anxiety". Material and methods: The article considers the results of a comprehensive study of anxiety and quality of life. The study was conducted within the framework of a scientific project in 180 respondents aged 16-60 years of both sexes. As a tool for assessing the quality of life of the population, we used a short version of the World Health Organization quality of life-BREF we assessed the anxiety of the population according to Spielberg. Statistical processing and data analysis were carried out using the SPSS 22.0 software package, the significance of differences was assessed by Student's t-test, differences were considered significant at p>0.05. Correlation between the level of anxiety and quality of life domains according to World Health Organization quality of life and the assessment of its reliability were determined by the Spearman method and by the Kruskal-Wallis test. Results: An inverse relationship was found for the ratios situational anxiety-mental well-being (r=-0.370, p>0.001) and situational anxiety-environment (r=-0.491, p>0.001). Weak negative relationships were also obtained for the remaining ratios, ranging from r=-0.230 (p=0.002) to r=-0.284 (p<0.001). For the ratio of personal anxiety-physical well-being, the absence of a significant relationship was revealed (r=-0.119 (p=0.110). The presence of a direct relationship between situational and personal anxiety is indicated by the obtained correlation coefficient between these indicators - r=0.610 (p<0.001). Conclusion: The study of correlations between anxiety and quality of life domains indicates the presence of relationships between the indicators, which must be taken into account when developing various preventive measures. A better understanding of the impact on quality of life will lead to increase public awareness of anxiety as serious mental disorders for further research. [ABSTRACT FROM AUTHOR]

This study aimed to analyze the morphological process in creating the adjective words in Blaan, particularly the structure from positive degree to their comparative and superlative degree of comparison. As a resource for Blaan, this study employed a qualitative discourse analysis research design with morphology as a level of analysis. Five native speakers of the Blaan language were chosen as volunteers in this study. They are explicitly confirming South Cotabato residents in Landan Polomolok, South Cotabato. The participants revealed that, as with the English Language, Blaan also has affixes that they attached to the Blaan Adjective to show its degree of comparison, such as "la Ali" for comparative degree and "to ti" for the superlative degree. "La Ali" is used when there is a comparison between two things, persons, or ideas, while "to ti" is used when comparing one thing, idea, or person among others. The direct impact of understanding affixes, affixation with morphological consciousness, the experimental language used, and beneficial procurement strategies that teachers may impart to students who use the Blaan language are among the conclusions drawn from this discussion of the significance of affix learning in language acquisition. The Blaan language does a fantastic job of developing common terms. This needs to be understood by native speakers themselves, particularly the younger ones. Native speakers need to be given language orientation and additional research on the Blaan Language in order to ease their fears of losing their mother tongue, as is the case with the Ligbok Language of a tribe in Capiz, Visayas, as described by Jessica Soho. Anyone who is eager to have a better understanding of the structure, formation, and laws of the Blaan language can readily examine the study's conclusions. Furthermore, future student researchers utilizing the same design for research will be able to refer to the study's methodology as a guide. Aspects of the Blaan language can be examined using other linguistic analysis levels, such as pragmatics, syntax, and semantics. This research serves as one of the cornerstones for developing educational resources and grammar manuals for Blaans. [ABSTRACT FROM AUTHOR]

Background: Eagle syndrome is caused by an elongated styloid process affecting carotid arteries and cranial nerves. Pain, dysphagia, tinnitus, paresthesia (classic subtype), and neurovascular events (vascular subtype) may be triggered by head movements or arise spontaneously. However, Eagle syndrome remains underappreciated in the neurological community. We aimed to determine the most common neurological and non-neurological clinical presentations in patients with Eagle syndrome and to assess the clinical outcome post-surgical resection in comparison to non-surgical therapies. Methodology: We conducted a systematic review of patient-level data on adults with Eagle syndrome, following PRISMA guidelines. We extracted data on demographics, presenting symptoms, neurological deficits, radiological findings, and treatments, including outcomes and complications, from studies in multiple indexing databases published between 2000 and 2023. The study protocol is registered with PROSPERO. Results: In total, 285 studies met inclusion criteria, including 497 patients with Eagle syndrome (mean age 47.3 years; 49.8% female). Classical Eagle (370 patients, 74.5%) was more frequent than vascular Eagle syndrome (117 patients, 23.5%, p < 0.0001). Six patients (1.2%) presented with both variants and the subvariant for four patients (0.8%) was unknown. There was a male preponderance (70.1% male) in the vascular subtype. A history of tonsillectomy was more frequent in classic (48/153 cases) than in vascular (2/33 cases) Eagle syndrome (Odds Ratio 5.2, 95% CI [1.2–22.4]; p = 0.028). By contrast, cervical movements as trigger factors were more prevalent in vascular (12/33 cases) than in classic (7/153 cases) Eagle syndrome (Odds Ratio 7.95, 95% CI [2.9–21.7]; p = 0.0001). Headache and Horner syndrome were more frequent in vascular Eagle syndrome and dysphagia and neck pain more prominent in classic Eagle syndrome (all p < 0.01). Surgically treated patients achieved overall better outcomes than medically treated ones: Eighty-one (65.9%) of 123 medically treated patients experienced improvement or complete resolution, while the same applied to 313 (97.8%) of 320 surgical patients (Odds Ratio 1.49, 95% CI [1.1–2.0]; p = 0.016). Conclusions: Eagle syndrome is underdiagnosed with potentially serious neurovascular complications, including ischemic stroke. Surgical treatment achieves better outcomes than conservative management. Although traditionally the domain of otorhinolaryngologist, neurologist should include this syndrome in differential diagnostic considerations because of the varied neurological presentations that are amenable to effective treatment. [ABSTRACT FROM AUTHOR]

Advancements in AI have notably changed cancer research, improving patient care by enhancing detection, survival prediction, and treatment efficacy. This review covers the role of Machine Learning, Soft Computing, and Deep Learning in oncology, explaining key concepts and algorithms (like SVM, Naïve Bayes, and CNN) in a clear, accessible manner. It aims to make AI advancements understandable to a broad audience, focusing on their application in diagnosing, classifying, and predicting various cancer types, thereby underlining AI's potential to better patient outcomes. Moreover, we present a tabular summary of the most significant advances from the literature, offering a time-saving resource for readers to grasp each study's main contributions. The remarkable benefits of AI-powered algorithms in cancer care underscore their potential for advancing cancer research and clinical practice. This review is a valuable resource for researchers and clinicians interested in the transformative implications of AI in cancer care. [ABSTRACT FROM AUTHOR]

Objective: This study investigated whether artificial intelligence (AI) models combining voice signals, demographics, and structured medical records can detect glottic neoplasm from benign voice disorders., Methods: We used a primary dataset containing 2-3 s of vowel "ah", demographics, and 26 items of structured medical records (e.g., symptoms, comorbidity, smoking and alcohol consumption, vocal demand) from 60 patients with pathology-proved glottic neoplasm (i.e., squamous cell carcinoma, carcinoma in situ, and dysplasia) and 1940 patients with benign voice disorders. The validation dataset comprised data from 23 patients with glottic neoplasm and 1331 patients with benign disorders. The AI model combined convolutional neural networks, gated recurrent units, and attention layers. We used 10-fold cross-validation (training-validation-testing: 8-1-1) and preserved the percentage between neoplasm and benign disorders in each fold., Results: Results from the AI model using voice signals reached an area under the ROC curve (AUC) value of 0.631, and additional demographics increased this to 0.807. The highest AUC of 0.878 was achieved when combining voice, demographics, and medical records (sensitivity: 0.783, specificity: 0.816, accuracy: 0.815). External validation yielded an AUC value of 0.785 (voice plus demographics; sensitivity: 0.739, specificity: 0.745, accuracy: 0.745). Subanalysis showed that AI had higher sensitivity but lower specificity than human assessment (p < 0.01). The accuracy of AI detection with additional medical records was comparable with human assessment (82% vs. 83%, p = 0.78)., Conclusions: Voice signal alone was insufficient for AI differentiation between glottic neoplasm and benign voice disorders, but additional demographics and medical records notably improved AI performance and approximated the prediction accuracy of humans., Level of Evidence: NA Laryngoscope, 134:4585-4592, 2024., (© 2024 The American Laryngological, Rhinological and Otological Society, Inc.)

Objective: Injection laryngoplasty (IL) with hyaluronic acid (HA) is an effective treatment for patients with glottic insufficiency. The duration of HA maintenance in the vocal fold remains unknown. In this study, transcutaneous laryngeal ultrasound (TLUS) was used to evaluate the absorption and migration of HA after IL. Subsequent management might be provided based on the TLUS finding., Methods: Patients diagnosed with unilateral vocal fold paralysis (UVFP) or vocal fold atrophy were recruited. All patients underwent IL with HA in an office-based setting along with TLUS to monitor the status of HA. The schedule of TLUS included assessments before and after IL until non-visualization., Results: The study population comprised 38 women and 17 men. Of the patients, 54.1% underwent IL for UVFP, whereas 45.9% underwent IL for vocal fold atrophy. Multivariate Cox regression analysis for factors affecting HA absorption revealed that the cause of injection was the most important independent predictor (hazard ratio [HR], 2.15; 95% confidence interval [CI], 1.03-4.46; p = 0.040). The duration of HA maintenance was significantly longer in patients with UVFP than in those with vocal fold atrophy (8.77 vs. 4.70 months, HR, 2.33; 95% CI, 5.47-8.18; p = 0.002)., Conclusion: TLUS is an objective assessment method for patients undergoing IL with HA. Subsequent tailor-made management could be offered based on the TLUS findings during follow-up. For patients at high risk of upper respiratory tract infection or who are intolerant to flexible nasopharyngoscopy, TLUS can be used as an alternative tool to evaluate the condition of the glottis after IL with HA., Level of Evidence: 4 Laryngoscope, 134:4682-4687, 2024., (© 2024 The Author(s). The Laryngoscope published by Wiley Periodicals LLC on behalf of The American Laryngological, Rhinological and Otological Society, Inc.)

Objective: Posterior glottic stenosis (PGS) has a significant impact on breathing and quality of life, and remains a challenging condition to manage. Literature does not provide a single optimal approach. In this study we aim to assess post-operative outcomes of adult patients with acquired PGS treated with open laryngotracheal reconstruction (LTR) with autologous or cadaveric rib grafting., Methods: This multicenter retrospective cohort study included adults who underwent open LTR for iatrogenic PGS (2015-2023) and were followed for 26 months on average. Data on comorbidities, surgical complications, and interventions following surgery were collected., Results: Forty-three adult patients were included. Decannulation was successful in 76.7%, and 53.5% of patients required an endoscopic or open revision procedure for recurrent stenosis during the mean post-operative follow-up of 26 months. Patients with severe obesity (BMI ≥ 35), moderate to severe co-morbidity (ASA ≥ 3) or Chronic Kidney Disease were significantly more likely to fail decannulation after LTR. Diabetes Mellitus and ASA ≥ 3 were significant negative predictors for intervention-free survival. There were no significant differences in decannulation rate or intervention free survival between patients that had LTR with autologous (n = 26) versus cadaveric (n = 17) cartilaginous grafting., Conclusion: This study describes the largest consecutive multicenter cohort of adult PGS patients treated with open LTR. This technique significantly improves breathing outcomes in PGS, with minimal complications in selected patients with a healthy weight and few comorbidities. Patients with a BMI ≥ 35, ASA ≥ 3, Diabetes Mellitus or renal failure have less favorable outcomes, with respect to decannulation rates and intervention-free survival., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Radiomics is increasingly utilized to distinguish pulmonary nodules between lung adenocarcinoma (LUAD) and tuberculosis (TB). However, it remains unclear whether different segmentation criteria, such as the inclusion or exclusion of the cavity region within nodules, affect the results. Methods: A total of 525 patients from two medical centers were retrospectively enrolled. The radiomics features were extracted according to two regions of interest (ROI) segmentation criteria. Multiple logistic regression models were trained to predict the pathology: (1) The clinical model relied on clinical‐radiological semantic features; (2) The radiomics models (radiomics+ and radiomics−) utilized radiomics features from different ROIs (including or excluding cavities); (3) the composite models (composite+ and composite−) incorporated both above. Results: In the testing set, the radiomics+/− models and the composite+/− models still possessed efficient prediction performance (AUC ≥ 0.94), while the AUC of the clinical model was 0.881. In the validation set, the AUC of the clinical model was only 0.717, while that of the radiomics+/− models and the composite+/− models ranged from 0.801 to 0.825. The prediction performance of all the radiomics+/− and composite+/− models were significantly superior to that of the clinical model (p < 0.05). Whether the ROI segmentation included or excluded the cavity had no significant effect on these models (radiomics+ vs. radiomics−, composite+ model vs. composite−) (p > 0.05). Conclusions: The present study established a machine learning‐based radiomics strategy for differentiating LUAD from TB lesions. The ROI segmentation including or excluding the cavity region may exert no significant effect on the predictive ability. [ABSTRACT FROM AUTHOR]

Objectives: Vocal fold leukoplakia (VFL) is a precancerous lesion of laryngeal cancer, and its endoscopic diagnosis poses challenges. We aim to develop an artificial intelligence (AI) model using white light imaging (WLI) and narrow-band imaging (NBI) to distinguish benign from malignant VFL., Methods: A total of 7057 images from 426 patients were used for model development and internal validation. Additionally, 1617 images from two other hospitals were used for model external validation. Modeling learning based on WLI and NBI modalities was conducted using deep learning combined with a multi-instance learning approach (MIL). Furthermore, 50 prospectively collected videos were used to evaluate real-time model performance. A human-machine comparison involving 100 patients and 12 laryngologists assessed the real-world effectiveness of the model., Results: The model achieved the highest area under the receiver operating characteristic curve (AUC) values of 0.868 and 0.884 in the internal and external validation sets, respectively. AUC in the video validation set was 0.825 (95% CI: 0.704-0.946). In the human-machine comparison, AI significantly improved AUC and accuracy for all laryngologists (p < 0.05). With the assistance of AI, the diagnostic abilities and consistency of all laryngologists improved., Conclusions: Our multicenter study developed an effective AI model using MIL and fusion of WLI and NBI images for VFL diagnosis, particularly aiding junior laryngologists. However, further optimization and validation are necessary to fully assess its potential impact in clinical settings., Level of Evidence: 3 Laryngoscope, 134:4321-4328, 2024., (© 2024 The American Laryngological, Rhinological and Otological Society, Inc.)

Copyright of Revista de Investigación e Innovación en Ciencias de la Salud (RIICS) is the property of Fundacion Universitaria Maria Cano and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose of Review: The purpose of this review is to summarize the existing literature on artificial intelligence technology utilization in laryngology, highlighting recent advances and current barriers to implementation., Recent Findings: The volume of publications studying applications of artificial intelligence in laryngology has rapidly increased, demonstrating a strong interest in utilizing this technology. Vocal biomarkers for disease screening, deep learning analysis of videolaryngoscopy for lesion identification, and auto-segmentation of videofluoroscopy for detection of aspiration are a few of the new ways in which artificial intelligence is poised to transform clinical care in laryngology. Increasing collaboration is ongoing to establish guidelines and standards for the field to ensure generalizability., Summary: Artificial intelligence tools have the potential to greatly advance laryngology care by creating novel screening methods, improving how data-heavy diagnostics of laryngology are analyzed, and standardizing outcome measures. However, physician and patient trust in artificial intelligence must improve for the technology to be successfully implemented. Additionally, most existing studies lack large and diverse datasets, external validation, and consistent ground-truth references necessary to produce generalizable results. Collaborative, large-scale studies will fuel technological innovation and bring artificial intelligence to the forefront of patient care in laryngology., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To describe treatment pathways and long-term outcomes in 64 patients with idiopathic subglottic stenosis (iSGS), including the impact of serial intralesional steroid injection (SILSI) on degree of stenosis, need for subsequent operation, and patient-reported outcome measures. Methods: Retrospective review of 64 female patients with iSGS undergoing varied management approaches, 57 of whom underwent SILSI as at least part of their care. Treatment pathways included SILSI only, endoscopic intervention followed by SILSI only, endoscopic interventions only, endoscopic intervention followed by SILSI followed by need for repeat endoscopic intervention, open surgery, and tracheotomy. Outcomes assessed included subjectively estimated percent airway stenosis, dyspnea index (DI), modified medical research council (MMRC) dyspnea scale, voice handicap index-10 (VHI-10), number of operative and office-based procedures performed, need for subsequent operative intervention, and inter-operative interval. Results: Treatment pathways included SILSI alone (n = 6), endoscopic intervention(s) followed by SILSI only (n = 31), SILSI followed by additional endoscopic or office-based procedures (n = 16), open surgery (n = 3), and tracheostomy (n = 4). 57 of 64 patients underwent SILSI as at least part of their treatment. Inter-operative interval was increased after starting SILSI. Of patients undergoing SILSI, those with more procedures or shorter inter-operative interval prior to SILSI were more likely to return to the operating room. Estimated stenosis, DI, MMRC, and VHI-10 decreased with SILSI. Stenosis was not correlated with DI, MMRC, or VHI-10, though DI was correlated with both MMRC and VHI-10 score. Conclusion: Of 57 patients undergoing SILSI, 37 did not require further operative intervention. Improvements in inter-operative interval, dyspnea, and voice were observed across patients. Randomized trials to identify which patients may benefit most from SILSI are warranted. [ABSTRACT FROM AUTHOR]

The endoscopic examination of subepithelial vascular patterns within the vocal fold is crucial for clinicians seeking to distinguish between benign lesions and laryngeal cancer. Among innovative techniques, Contact Endoscopy combined with Narrow Band Imaging (CE-NBI) offers real-time visualization of these vascular structures. Despite the advent of CE-NBI, concerns have arisen regarding the subjective interpretation of its images. As a result, several computer-based solutions have been developed to address this issue. This study introduces the CE-NBI data set, the first publicly accessible data set that features enhanced and magnified visualizations of subepithelial blood vessels within the vocal fold. This data set encompasses 11144 images from 210 adult patients with pathological vocal fold conditions, where CE-NBI images are annotated using three distinct label categories. The data set has proven invaluable for numerous clinical assessments geared toward diagnosing laryngeal cancer using Optical Biopsy. Furthermore, given its versatility for various image analysis tasks, we have devised and implemented diverse image classification scenarios using Machine Learning (ML) approaches to address critical clinical challenges in assessing laryngeal lesions. [ABSTRACT FROM AUTHOR]

For decades, a wide variety of natural and synthetic materials have been used to augment human tissue to improve aesthetic outcomes. Dermal fillers are some of the most widely used aesthetic treatments throughout the body. Initially, the primary function of dermal fillers was to restore depleted volume. As biomaterial research has advanced, however, a variety of biostimulatory fillers have become staples in aesthetic medicine. Such fillers often contain a carrying vehicle and a biostimulatory material that induces de novo synthesis of major structural components of the extracellular matrix. One such filler, Radiesse (Merz Aesthetics, Raleigh, NC), is composed of calcium hydroxylapatite microspheres suspended in a carboxymethylcellulose gel. In addition to immediate volumization, Radiesse treatment results in increases of collagen, elastin, vasculature, proteoglycans, and fibroblast populations via a cell-biomaterial–mediated interaction. When injected, Radiesse acts as a cell scaffold and clinically manifests as immediate restoration of depleted volume, improvements in skin quality and appearance, and regeneration of endogenous extracellular matrices. This narrative review contextualizes Radiesse as a regenerative aesthetic treatment, summarizes its unique use cases, reviews its rheological, material, and regenerative properties, and hypothesizes future combination treatments in the age of regenerative aesthetics. Level of Evidence: 5 [ABSTRACT FROM AUTHOR]