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A recently published patent application titled "Tumor Homing And Cell Penetrating Peptide-Immuno-Oncology Agent Complexes And Methods Of Use Thereof" explores the challenges of cancer therapy and the need for targeted delivery of immuno-oncology agents to tumor cells. The inventors propose the use of peptides with specific properties, such as tumor-homing and cell-penetrating abilities, which can be combined with immuno-oncology agents for cancer treatment. The application discusses the composition of peptide-immuno-oncology agent complexes (peptide-I/O complexes) and their potential use in treating disorders, particularly cancer. The application also provides methods for delivering the immuno-oncology agents across the blood-brain barrier and offers various compositions and sequences for the peptide and immuno-oncology agent components. The patent application was filed on November 22, 2023, and was made available online on September 19, 2024. [Extracted from the article]

A review conducted by researchers at Pennsylvania State University (Penn State) College of Medicine and Milton S. Hershey Medical Center explores the potential of neuromodulators and energy-based devices for nonsurgical rhinoplasty. The study found that both botulinum toxin and energy-based devices, used independently or alongside fillers, have been studied for nasal shape adjustments. Neuromodulator injection of the depressor septi nasi can reduce nasal tip droop, while treatment of the dilator naris can minimize alar flaring. Energy-based devices have been used to address nasal skin quality and shape contouring. However, further comparison studies are needed to establish best practices for these techniques. [Extracted from the article]

A study conducted at Cambridge University Hospitals NHS Foundation Trust compared the outcomes of teledermatology with conventional face-to-face review for patients referred for suspected skin cancer. The study found that teledermatology was accurate in diagnosing skin cancer and had comparable biopsy rates and diagnoses to conventional models. Over one-third of patients reviewed through teledermatology were discharged without needing to attend the hospital. The use of professional medical photography in teledermatology may delay initial review, but higher-quality images are associated with improved diagnostic accuracy. [Extracted from the article]

A recent study conducted by Stanford University School of Medicine explores the use of the Metaverse, a virtual reality technology, in the field of reconstructive surgery. The study highlights the limitations of current 3D-models used in surgical practice, which are viewed on 2D screens and hinder collaboration. By using the Microsoft Mesh application with a HoloLens headset, surgeons were able to remotely collaborate on virtual 3D-models in real-time, discussing surgical planning and trainee education. The researchers believe that the Metaverse has the potential to enhance collaboration, accessibility, and education in plastic surgery. [Extracted from the article]

Novant Health, a rapidly expanding healthcare organization, has undergone significant changes in its executive leadership team. Despite the shuffling of executives, Novant Health has successfully completed several acquisitions, including hospitals in South Carolina and medical centers in North Carolina. These acquisitions aim to capitalize on economies of scale, enhance managed care negotiations, and expand services in specific geographic areas. Notable departures from Novant Health include the former Chief Operating Officer, Chief Financial Officer, Chief Transformation and Digital Officer, Chief Medical and Scientific Officer, and Chief Consumer Officer. The organization has appointed new executives, including a Chief Operating Officer, Chief Administrative Officer, Chief Digital and Information Officer, and Chief Financial Officer. Novant Health's CEO, Carl Armato, has been in his position since 2012. These changes reflect Novant Health's commitment to delivering exceptional outcomes for patients and communities. [Extracted from the article]

IN EVERY ISSUE When students of the evolution of photo technology look back on 2021, they will undoubtedly see it as a year of seismic generational innovation, one when truly epochal products hit the marketplace. In recent years, mirrorless has been enthuse-astically embraced by legacy manufacturers such as Canon, Nikon, and Sony, which introduced mirrorless in the full-frame autofocus format. No mirrorless bodies are more deserving of a coup de maître citation for innovation than the new Sony flagship Alpha 1 and the Olympus flagship OM-D E-M1X, with its latest firmware upgrade that includes the bird autofocus detection system. [Extracted from the article]

A study conducted at University Hospital La Paz in Madrid, Spain, has developed a new digital tool for quantifying body asymmetry in scoliosis patients using clinical photographs. The tool calculates various parameters, such as angles and surfaces, and was found to have excellent reliability and inter- and intra-observer variabilities. This non-ionizing method could be used to assess and monitor scoliosis and body asymmetry without the need for radiation. The study was funded by Depuy Synthes Spine and Medtronic. [Extracted from the article]

A study conducted at Beth Israel Deaconess Medical Center in Boston, Massachusetts explored patient comfort with before and after (B&A) photographs in plastic surgery offices. The study found that the use of smartphones for taking these photographs may pose risks to confidentiality and patient comfort. The research concluded that B&A photography should be taken by a medical professional, and if photographs are taken when the patient is unclothed, the use of a professional-grade camera may help ease patient discomfort. The study involved 411 respondents with an average age of 36.1 years old, and the majority of participants were White and non-Hispanic. [Extracted from the article]

Interpretable artificial intelligence (AI), also known as explainable AI, is indispensable in establishing trustable AI for bench-to-bedside translation, with substantial implications for human well-being. However, the majority of existing research in this area has centered on designing complex and sophisticated methods, regardless of their interpretability. Consequently, the main prerequisite for implementing trustworthy AI in medical domains has not been met. Scientists have developed various explanation methods for interpretable AI. Among these methods, fuzzy rules embedded in a fuzzy inference system (FIS) have emerged as a novel and powerful tool to bridge the communication gap between humans and advanced AI machines. However, there have been few reviews of the use of FISs in medical diagnosis. In addition, the application of fuzzy rules to different kinds of multimodal medical data has received insufficient attention, despite the potential use of fuzzy rules in designing appropriate methodologies for available datasets. This review provides a fundamental understanding of interpretability and fuzzy rules, conducts comparative analyses of the use of fuzzy rules and other explanation methods in handling three major types of multimodal data (i.e., sequence signals, medical images, and tabular data), and offers insights into appropriate fuzzy rule application scenarios and recommendations for future research. [ABSTRACT FROM AUTHOR]

A clinical trial, NCT06261944, is currently underway to test the accuracy of the Glyconics-DS spectrometer in assessing glycated nail keratin in individuals with unknown diabetes risk. The trial will also evaluate the performance of the associated software in analyzing diabetes risk using algorithms. The study will compare the spectrometer's results with the HbA1c biomarker, which measures glycaemia. The trial is in the recruitment phase and aims to enroll 480 apparently healthy adults. The research study is being conducted by investigators at Sant Pau Hospital, led by Principal Investigator Didac Mauricio. The study utilizes keratins, software, chemometric analysis, and scleroproteins in the field of health and medicine, incorporating emerging technologies like cloud computing and machine learning. This study is part of ongoing efforts to identify biomarkers for diabetes risk and prevention. The information is provided by Glyconics Ltd and was verified in February 2024. [Extracted from the article]

A report from the Instituto Politecnico de Lisboa in Portugal explores the impact of music-based interventions on the psychological and emotional well-being of patients undergoing medical imaging procedures. The study conducted a systematic review and meta-analysis of thirteen articles, finding that music interventions were effective in reducing anxiety and heart rate during imaging procedures. The use of digital playlists and headphones with an average volume of 50-60 dB and a musical frequency of 60-80 beats/min was common. The research concludes that music interventions are a practical and cost-effective strategy to enhance patient comfort and reduce anxiety and stress during medical procedures. [Extracted from the article]

A new report from the University of Michigan Medical School examines the concept of the "clinical gaze" in clinical photography in pediatric craniofacial plastic surgery. The researchers argue that clinical photography can lead to dehumanization and alienation of patients, and they propose mitigating the clinical gaze to improve patient experiences. The report draws on Michel Foucault's critique of Western medical practice and offers an example of an attempt to upend the power dynamic through the Craniofacial Anomalies Program at the University of Michigan. This research provides insights into the ethical considerations surrounding clinical photography in plastic surgery. [Extracted from the article]

A study conducted by the University of Utah has found that plastic surgery trainees frequently use their personal smartphones to take medical photographs of patients, raising concerns about patient consent and privacy. The study surveyed 71 plastic surgery trainees in the United States and found that 99% of them use their personal cell phones for patient photography, but only 65% use HIPAA-compliant photo storage applications and only 49% are aware of standard guidelines. The researchers concluded that there is a need for additional education and access to HIPAA-compliant photo storage applications in order to address these concerns. [Extracted from the article]

A study conducted at King Saud bin Abdulaziz University for Health Sciences in Saudi Arabia aimed to understand the perception and acceptance of medical photography among Arab dermatology patients. The study found that medical photography was highly acceptable to the majority of patients, with 36.7% finding it highly acceptable, 11.6% finding it fairly acceptable, and 14.3% finding it poorly acceptable. Female patients were more accepting of medical photography than males, and physicians were the preferred choice as photographers. Patients also preferred the use of department-owned cameras and favored stating all intended uses of the photographs. The study suggests that these findings can inform the development of a standardized framework that meets the preferences of both patients and physicians. [Extracted from the article]

A patent has been issued to Captureproof Inc. for an image integrity and repeatability system. The patent describes a method and instructions for operating an imaging system that improves image integrity and repeatability. The system is designed to address the challenges of capturing consistent images in different lighting environments and with different image backgrounds. It aims to provide fast, intuitive, consistent, and repeatable images for various fields, including medicine, construction management, and insurance. The patent includes detailed claims and instructions for implementing the system. [Extracted from the article]

PHOTO (COLOR): 22 Online Historical Photo Databases, Maureen Taylor, Family Tree Magazine, www.familytreemagazine.com/premium/online-historical-photo-databases PHOTO (COLOR) PHOTO (COLOR) PHOTO (COLOR) PHOTO (COLOR) PHOTO (COLOR) The photo of an "African American young woman approximately 16-20 years old" is an example of an unidentified photograph part of an archival collection. 10 Genealogy-specific websites such as Ancestry.com ($) have photo collections, e.g., US Family Photo Collection, c. 1850-2000, www.ancestry.com/search/collections/8789. [Extracted from the article]

The article focuses on the renovation of the lakeside property included a four-story, concrete-and-timber new-build that added 45 guest rooms to the existing 52, atop a partly subterranean state-of-the-art medical spa and wellness center.

Led by a German named Martin Gerhard Guth, the Association for the Conservation of Threatened Parrots (ACTP) bills itself as a nonprofit dedicated to protecting endangered parrots and their habitats. Through ACTP, Guth and his members had effectively created a back channel for trading and breeding endangered parrots within the bounds of increasingly restrictive wildlife laws. Although ACTP and St. Vincent had signed a technical partnership for parrot conservation in 2006, Guth needed a breeding agreement to make a better case for exporting the birds. That mandate, combined with ACTP's delivery of 52 Spix's to Brazil in March, leaves Guth with empty cages to fill. [Extracted from the article]

The article presents an examination into the life and career of the 19th-century British medical photographer Hugh Welch Diamond, whose work documenting the mentally ill greatly affected popular and scientific views of insanity. Details are given overviewing Diamond's medical education and adult career as an asylum keeper in London, England. Commentary is given describing trends in the diagnosing and sequestering of the mentally ill during the century, noting abuses of the system. Diamond's contributions to the scholarship of mental illness and his extensive photography collection are then addressed, highlighting how his humane portrayal of the patients contributed to their better treatment.

A patent application has been submitted for a photography support device that aims to improve the process of taking intraoral photographs in dentistry. The device includes a determining unit that identifies the specific areas of the oral cavity being photographed and a missing-image sensing unit that detects whether all necessary images have been captured. The device also has a support information output unit that provides guidance to the photographer based on the determination and sensing results. This technology aims to support accurate and efficient photography of intraoral images, particularly for those without extensive experience in dentistry. [Extracted from the article]

Zhejiang University in China has been issued a patent for a fundus image quality evaluation method and device. Fundus photography is an important method for diagnosing eye diseases, and with the development of artificial intelligence, automatic disease screening through fundus images has become a popular research topic. However, manual quality evaluation by experts is costly and time-consuming. This patent proposes a method that uses a human visual system and combines multiple fundus imaging methods to comprehensively and objectively evaluate fundus images. The method involves acquiring multi-source fundus images, constructing a fundus image quality evaluation network, training the network, and inputting fundus images to obtain quality evaluation results. [Extracted from the article]

Telangana Chief Minister A. Revanth Reddy visited his predecessor K. Chandrasekhar Rao at a hospital in Hyderabad, where Rao underwent hip replacement surgery after suffering a fracture. Reddy, who recently assumed office, expressed his wishes for Rao's early recovery and directed officials to ensure he receives the best treatment. Rao is recovering well after the surgery and may be discharged in a few days. Reddy had previously instructed the health secretary to provide Rao with necessary medical assistance. [Extracted from the article]

A recent study conducted at the University of Texas Medical Branch focused on improving the quality of clinical photography in craniomaxillofacial and reconstructive surgery. The researchers reviewed existing literature on medical photography and emphasized the importance of precise documentation in surgical procedures. They discussed the fundamental concepts of photography and provided tips for enhancing image quality at different stages of perioperative photography. The study concluded that standardization, consistency, and attention to framing, lighting, and focus are crucial for producing better and sharper images. The research article is available for free online and provides valuable insights for those interested in oral and maxillofacial pathology. [Extracted from the article]

This document provides information about a clinical trial, NCT06137287, that is being conducted to assess the effectiveness of BOTOX in reducing masseter muscle prominence in adult participants. The trial will involve approximately 250 adult participants in Japan who will be assigned to one of four treatment groups. Participants will receive either BOTOX or a placebo through intramuscular injections and will be followed for approximately 360 days. The trial aims to evaluate the treatment's effects through medical assessments, facial photography, side effect monitoring, and questionnaires. The trial is not yet recruiting participants and is expected to be completed by January 17, 2026. The responsible party for the trial is AbbVie, and they plan to share the collected data. [Extracted from the article]

The article discusses the use of ultrasonic imaging in medical diagnosis of possible abnormalities inside the human body. The ultrasound agency is an alternative procedure to the traditional catheter, surgery , needle and X-ray. Ultrasound allows the physicians to examine the interior of the human body painlessly and minimizing the risks as well as the expense.

The slit lamp microscope according to claim 19, wherein the image group processing processor further includes an image set forming processor configured to execute a formation of an image set by selecting a series of images corresponding to a scan area from at least two image groups that include the image group and another image group collected by the another scan. The slit lamp microscope according to claim 8, wherein the second image includes at least one image included in an image group collected by the scanner during the follow-up photography. The slit lamp microscope according to claim 13, wherein the processed image constructing processor is configured to construct a rendered image of the three dimensional image as the processed image. The slit lamp microscope according to claim 8, wherein the image acquiring unit further includes a processed image constructing processor configured to construct a processed image from the image group. [Extracted from the article]

• Introduce development history and application scenarios of IoMT. • Discuss data security issues in IoMT and propose corresponding measures. • Build an artificial intelligence-IoMT system with high automation and accuracy. • Use data integrity verification and tampering prevention to test data integrity. This study to solve the information storage problem in the current medical system analyzes the privacy and security effects of the blockchain (BC) in the Internet of Medical Things (IoMT) and accurately predicts the health status of IoMT users. First, a microgrid is designed to supply power to BC, and then BC is applied to IoMT so that medical data can be stored safely and secure information can be shared. Then, deep learning is used to predict and analyze the characteristics of users' health data. Besides, the IoMT model under BC and improved AlexNet are constructed. Finally, the model is evaluated based on an example. According to the results, the calculation overhead of the model keeps stable at 0.13 s, and the usage of central processing unit is always lower than 17.62%. Regarding data transmission security, the average delay of the model reported keeps stable at 350 ms, and the area under the characteristic curve of receiver operating is 0.9217. This algorithm can accurately predict the user's physiological health. In this study, a system with high model efficiency and superior performance is created. This work is of significance for the intelligent development and secure information storage in the medical field and contribute to the development of the medical industry. [ABSTRACT FROM AUTHOR]

This article discusses the need for accurate mapping of photographic images to computed tomography (CT) scans in medical imaging. The current methods for this mapping can be computationally intensive and require specialized hardware. The authors compare the integration of a commercial 3-D camera and a cell phone camera with a surface registration pipeline for 3-D mapping. They obtain 3-D CT reconstructions and sets of photographic images from two sources and perform surface reconstruction and registration. The results show that photographic imaging can provide a low-cost alternative for establishing correspondence between histological samples and 3-D anatomical samples. However, it is important to note that this preprint has not been peer-reviewed. [Extracted from the article]

A need arises for imaging devices that may provide multidirectional imaging, light conditioning, illumination sequences, scanning light beam, or machine learning to enhance the capabilities of imaging methods." Therefore, existing advanced imaging technologies, such as scanning lasers imaging, can acquire images that are used to train machine learning tools to extract information from conditioned light imaging sources and reconstruct similar information acquired from advanced imaging techniques. [Extracted from the article]

The fundus image quality evaluation method based on multi-source and multi-scale feature fusion according to claim 1, wherein before the fundus images are input into the fundus image quality evaluation network, the fundus images are preprocessed, comprising cropping, scaling and obtaining a mask of eyes, and preprocessed fundus images are input into the fundus image quality evaluation network. "Optionally, before the fundus images are input into the fundus image quality evaluation network, the fundus images are preprocessed, including cropping, scaling and obtaining a mask of eyes, and preprocessed fundus images are input into the fundus image quality evaluation network, so as to improve an effect of multi-scale feature extractors on feature extraction of the fundus images. [Extracted from the article]

Finland, Europe, Education, Health and Medicine, Surgery, Helsinki Keywords for this news article include: Helsinki, Finland, Europe, Education, Health and Medicine, Surgery, University of Helsinki Hospital. Keywords: Helsinki; Finland; Europe; Education; Health and Medicine; Surgery EN Helsinki Finland Europe Education Health and Medicine Surgery 447 447 1 09/11/23 20230911 NES 230911 2023 SEP 17 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- A new study on Education is now available. [Extracted from the article]

Study Findings from Nantes University Hospital Broaden Understanding of Surgical Technology (How To Measure Vessel Caliber In Microsurgery and Super-microsurgery? Keywords for this news article include: Nantes, France, Europe, Health and Medicine, Medical Devices, Microsurgery, Microsurgical, Microtechnology, Software, Surgery, Surgical Technology, Nantes University Hospital. The news editors report that additional information may be obtained by contacting Ugo Lancien, Nantes University Hospital, Plast Reconstruct & Aesthet Surg Unit, Pl Alexis Ricordeau, F-44000 Nantes, France. [Extracted from the article]

"For example, health insurance companies shouldn't be providing the apps used by policyholders to authorize access to their data. Keywords: Electronic Medical Records; Health Insurance; Health and Medicine; Information Technology; Ruhr-University Bochum EN Electronic Medical Records Health Insurance Health and Medicine Information Technology Ruhr-University Bochum 2430 2430 1 08/21/23 20230822 NES 230822 2023 AUG 25 (NewsRx) -- By a News Reporter-Staff News Editor at Health Insurance Week -- Professor Karola Marky and PhD student Rebecca Panskus of Ruhr University Bochum, Germany, presented their findings at the Symposium on Usable Privacy and Security in the US on 8 August 2023. A total of 85 health insurance companies currently provide their policyholders with apps that they can use to grant doctors' offices access or to edit their records, for example by deleting entries. [Extracted from the article]

Keywords: Aesthetic Surgery; Computers; Health and Medicine; Surgery EN Aesthetic Surgery Computers Health and Medicine Surgery 805 805 1 07/31/23 20230806 NES 230806 2023 AUG 6 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Researchers detail new data in aesthetic surgery. Keywords for this news article include: University College London (UCL), London, United Kingdom, Europe, Computers, Aesthetic Surgery, Health and Medicine. [Extracted from the article]

Keywords: Chicago; State:Illinois; United States; North and Central America; Diagnostics and Screening; Health and Medicine; Hospitals; Surgery; Tracheostomy EN Chicago State:Illinois United States North and Central America Diagnostics and Screening Health and Medicine Hospitals Surgery Tracheostomy 371 371 1 07/31/23 20230806 NES 230806 2023 AUG 6 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Current study results on Surgery - Tracheostomy have been published. For more information on this research see: Postoperative Photography Reduces Incorrect Wound Breakdown Diagnoses In Tracheostomy. [Extracted from the article]

Perpetually improving mortality prediction in intensive care units (ICUs) via the implementation of eHealth evaluation approaches has become a major research hotspot in the field of medical data mining for the purpose of saving lives. Recently, researchers have attempted to achieve improved prediction accuracy by using only deep learning-based techniques. However, some problems remain. (1) Most of the existing methods utilize independent clinical features to predict mortality by eliminating the correlations between the latent features, but this technique may fail to comprehensively capture and evaluate the statuses of patients. (2) Several clinical features are needed to ensure strong prediction accuracy, but most methods only use static features that are not extendable. (3) An effective practical framework that unifies traditional ICU scoring systems and state-of-the-art deep learning methods to predict mortality is also lacking. (4) Moreover, the interpretability of existing deep learning-based methods needs to be further improved. Therefore, we propose a novel d ual-core m utual l earning f ramework (DMLF) between ICU scoring systems and clinical features for mortality prediction. In particular, we mutually utilize s equential o rgan f ailure a ssessment (SOFA) scores and clinical measurement features to learn a unified model for enhancing the accuracy and interpretability of our DMLF. Experiments conducted on five real-world disease datasets show that the DMLF achieves significantly better prediction accuracy and area under the receiver operating characteristic curve (AUROC) values than six baselines and four state-of-the-art methods. Moreover, clinicians utilize a familiarized SOFA system to conduct mortality prediction and achieve increased interpretability, which benefits the adoption of the proposed framework in real clinical scenarios. [ABSTRACT FROM AUTHOR]

The article offers information on passion of physicians which include information on photography skills of Tim Schacker, a professor of Medicine and Director of the Program in HIV Medicine at the University of Minnesota.

Keywords: Artificial Intelligence; Clinical Research; Clinical Trials and Studies; Dermatology; Emerging Technologies; Gender Health; Gender and Health; Health and Medicine; Machine Learning; Women's Health EN Artificial Intelligence Clinical Research Clinical Trials and Studies Dermatology Emerging Technologies Gender Health Gender and Health Health and Medicine Machine Learning Women's Health 357 357 1 07/24/23 20230728 NES 230728 2023 JUL 24 (NewsRx) -- By a News Reporter-Staff News Editor at Women's Health Weekly -- Staff editors report on the newly launched clinical trial, NCT05940090, which has the following summary description: "This research study will determine how a smart phone application (app) for total body photography outlier analysis compares to a dermatologist's decision to biopsy skin lesions." Artificial Intelligence, Clinical Research, Clinical Trials and Studies, Dermatology, Emerging Technologies, Gender Health, Gender and Health, Health and Medicine, Machine Learning, Women's Health. [Extracted from the article]

Keywords: Dermatology; Health and Medicine EN Dermatology Health and Medicine 3033 3033 1 07/10/23 20230714 NES 230714 2023 JUL 14 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Fresh data on dermatology are presented in a new report. For more information on this research see: BT26 Safe use of mobile photographic devices in dermatology: a multicentre quality-improvement project. [Extracted from the article]

"In some embodiments, the determining abnormal physical information by analyzing the physical information may include: inputting the physical information into a trained physical identification model; obtaining abnormal physical information output by the physical identification model; or comparing the physical information with a normal physical parameter to determine the abnormal physical information. The obtaining information related to the medical device and/or information related to a target object may include: obtaining position information of one or more ionization chambers of the scanning device, the scanning device being configured to scan the target object. The obtaining information related to the medical device and/or information related to a target object may include: obtaining physical information of the target object. [Extracted from the article]

Keywords for this news article include: MedStar Georgetown University Hospital, Washington, United States, North and Central America, Cybersecurity, Plastic Surgery, Health and Medicine. Keywords: Cybersecurity; Health and Medicine; Plastic Surgery; Surgery EN Cybersecurity Health and Medicine Plastic Surgery Surgery 419 419 1 06/12/23 20230613 NES 230613 2023 JUN 18 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Investigators publish new report on plastic surgery. [Extracted from the article]

Keywords: Pathum Thani; Thailand; Asia; Engineering; Convolutional Network; Emerging Technologies; Machine Learning; Networks; Neural Networks EN Pathum Thani Thailand Asia Engineering Convolutional Network Emerging Technologies Machine Learning Networks Neural Networks 3231 3231 1 05/29/23 20230602 NES 230602 2023 JUN 2 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Current study results on Engineering have been published. Pathum Thani, Thailand, Asia, Engineering, Convolutional Network, Emerging Technologies, Machine Learning, Networks, Neural Networks. [Extracted from the article]

Male patients with CAH, patients with clitoromegaly or urogenital sinus not from CAH, and patients seen through telehealth were excluded. A standardized protocol that respects the dignity of the patient and maintains the fidelity of objective documentation is needed for patients with differences in sexual development (DSD) and congenital adrenal hyperplasia (CAH).". [Extracted from the article]

"In one aspect, the one or more cross-sectional medical images include one or more of an ultrasound image, radiographic image, mammogram, CT image, scintigraphy image, SPECT image, PET image, or MRI image. "In one aspect, the photograph data associated with the particular patient includes textual patient data on a patient information board and/or patient monitor, and the method can additionally include automatically extracting the textual patient data from the photograph data. A method, comprising: obtaining a photograph and a medical image, the photograph and the medical image being captured simultaneously, the photograph and the medical image capturing the same patient; automatically co-registering the photograph and the medical image utilizing a machine learning model; automatically locating common features that are common to both the photograph and the medical image; and automatically highlighting the located common features within the photograph or medical image. "In one aspect, the method additionally includes the act of automatically detecting laterality of images of the planar and cross-sectional image data based on associated images of the photograph data. [Extracted from the article]