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Every ophthalmic surgical supply, including intraocular lenses (IOLs), IOL cartridges, and ophthalmic viscosurgical device syringes, is packaged with instructions for use (IFU). These pamphlets are printed in multiple languages and, in the case of an IOL, significantly increase the size and weight of the packaging. To eliminate this significant and unnecessary source of waste, we recommend that manufacturers move to Quick Response codes that link to online electronic IFU (e-IFU) as a sensible alternative. In addition to reducing carbon emissions and manufacturing costs, e-IFU can be updated more easily and accessed by surgeons in the clinic, where IOL models and powers are selected. Varying and inconsistent IFU requirements between different countries are a barrier to wider adoption of e-IFU by the ophthalmic surgical industry. Regulatory agencies in every country should allow and encourage e-IFU. This position paper has been endorsed by the 3 major societies that sponsor EyeSustain, a consortium of global societies dedicated to advancing sustainability in ophthalmology., (Copyright © 2024 Published by Wolters Kluwer on behalf of ASCRS and ESCRS.)

As the field of ophthalmology has evolved in the last several decades, so has the gender distribution of ophthalmologists. We conducted a narrative review to further characterise the status of women in the realm of publication, presentations, editorial positions, grants, academic promotion, and financial compensation. While the proportion of women publishing, presenting, and filling academic and editorial roles has increased over time, it still does not match that of men. Women are more likely to be first authors instead of senior authors, have lower average h-indices, and are awarded fewer grants. The magnitude of some of these differences is smaller when adjusted for women's shorter career duration on average. Despite increased representation of women in ophthalmology, women continue to receive less compensation for the same work. This review highlights that more can be done to improve gender parity in ophthalmology., (© 2024 Royal Australian and New Zealand College of Ophthalmologists.)

Competing Interests: Im Folgenden sind die Interessenerklärungen als tabellarische Zusammenfassung dargestellt. Siehe Tab. 2 im Anhang.

This position article on reducing topical drug waste with ophthalmic surgery was written by the Ophthalmic Instrument Cleaning and Sterilization Task Force, comprising representatives of the ASCRS, American Academy of Ophthalmology, American Glaucoma Society, and Outpatient Ophthalmic Surgery Society. Drug waste significantly increases the costs and carbon footprint of ophthalmic surgery. Surgical facilities should be permitted to use topical drugs in multidose containers on multiple patients until the manufacturer's labeled date of expiration, if proper guidelines are followed. Surgical patients requiring a topical medication not used for other patients should be allowed to bring that partially used medication home for postoperative use. These recommendations are based on published evidence and clarification of policies from multiple regulatory and accrediting agencies with jurisdiction over surgical facilities. Surveys suggest that most ambulatory surgery centers and hospitals performing cataract surgery are wasting topical drugs unnecessarily., (Copyright © 2022 Published by Wolters Kluwer on behalf of ASCRS and ESCRS.)

Purpose: To conduct a bibliometric analysis of the 100 most cited publications on LASIK using the Scientific Information (ISI) Web of Knowledge database., Methods: This analysis used keyword-specific searches within the Web of Science database to isolate the 100 most frequently cited LASIK articles published between 1996 and 2019 (T100). Number of citations per article and per year were quantified from 1996 to 2019. Title, authors (as well as affiliated institutions and countries of origin), journal, year of publication, and citation frequency were variables analyzed., Results: Of the T100 articles, each article was cited between 103 to 411 times with a mean of 167 citations. Between 0-11 articles in the T100 were published every year on average with a median of 5 publications per year. The highest concentration of T100 publications occurred between 2003 and 2008 at 51%. A decrease in the annual publication rate of influential articles was observed after 2010 at 23%; 39.1% of these articles compared LASIK to newer refractive surgical approaches. The highest number of T100 articles were from the Journal of Refractive Surgery. The University of California System produced the highest number of T100 articles. The author with the most articles in the T100 is Dan Z. Reinstein. Most T100 articles originated from the United States., Conclusion: The peak of influential LASIK research occurred between 2000-2010, likely due to topics such as postprocedural corneal ectasia and the femtosecond laser approach. While newer surgical techniques such as SMILE may have contributed to the decline in the annual rate of LASIK-related publication, the underlying cause for this decline is unclear.

The 100 most cited papers on retinal detachment (RD) were analysed using a bibliographic study. The bibliographic databases of the ISI Web of Knowledge were searched, limited to research articles published between 1965 and 2020 in peer-reviewed journals. The papers were ranked in order of number of citations since publication. Ninety of the 100 most cited papers on RD were published in 12 ophthalmology journals, with 74 of them published in American Journal of Ophthalmology (n=31), Ophthalmology (n=23), Archives of Ophthalmology (n=10) and Investigative Ophthalmology and Visual Science (n=10); the remaining 10 papers were published in 8 journals from other fields of medical research. All papers in the top 100 were published in English. The 100 most cited papers on RD originated from 12 different countries, with the majority (72 papers) originating from the USA. The 100 identified papers represent a mix of clinical trials and animal/laboratory studies. This bibliographic study provides a unique perspective and insight into some of the most influential contributions in RD understanding and management over the last 55 years., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.)

Worldwide, the incidence rate of myopia is maintained in a high level. Especially, the morbidity is rising continuously among children and adolescents. The progression of myopia affects visual acuity, vision related quality of life and productivity. Moreover, high myopia and its related ocular complications also aggravate the family and social burden. Therefore, the mechanism of myopia, related complications and methods of myopia prevention and control need further exploration. International Myopia Institute(IMI)published the second-edition white papers in April 2021. These white papers included reflections on the implications for clinical practice, the impact of myopia, the risk factors of myopia, the relationship among accommodation and binocular vision with myopia, pathologic myopia, prevention of myopia and digest. Comparing to the first edition, more than thousands of articles and conference abstracts were considered in white papers II, highlighting the latest research and progress related to myopia prevention and control. This article briefly summarizes and interprets the contents of the above white papers, including overview of myopia, impact of myopia, risk factors in myopia, ocular changes in the progress of myopia, and myopia prevention and control, hoping to provide advice for the clinical and scientific research work relating to myopia prevention and control.

Sihem Lazreg,1 Mohamed Hosny,2 Muhammad A Ahad,3 Mazen M Sinjab,4 Riadh Messaoud,5 Shady T Awwad,6 Antoine Rousseau7 1Ophthalmology Cabinet, Blida, Algeria; 2Refractive and Cornea Service, Cairo University Hospitals, Cairo, Egypt; 3Department of Ophthalmology, Anterior Segment Division, King Khaled Eye Specialist Hospital, Riyadh, Saudi Arabia; 4Dr Sulaiman Al Habib Hospital, DHCC, Dubai, United Arab Emirates; 5Department of Ophthalmology, Tahar SFAR University Hospital, Mahdia, Tunisia; 6Department of Ophthalmology, American University of Beirut - Medical Center, Beirut, Lebanon; 7Department of Ophthalmology, Bicêtre Hospital, Paris-Saclay University, Le Kremlin-Bicêtre, FranceCorrespondence: Antoine Rousseau, Pierre Testas Building, Bicêtre Hospital, 78 Rue du Général Leclerc, Le Kremlin-Bicêtre, 94270, France, Tel +33145213690, Email arousseau1010@gmail.comAbstract: In the Middle East and Northern Africa (MENA), dry eye disease (DED) is often misdiagnosed or overlooked. This review summarizes a series of conversations with ophthalmologists in the region around a variety of climatic, lifestyle, and iatrogenic factors that contribute to specific features of DED in the MENA region. These considerations are further classified by patient lifestyle and surgical choices. All statements are based on discussions and formal voting to achieve consensus over three meetings. Overall, a deeper understanding of the disease characteristics of DED specific to MENA can better guide local eyecare practitioners on appropriate management and follow-up care. Additionally, population-based studies and patient and physician education on ocular surface diseases, together with the use of culturally appropriate and language-specific questionnaires can help ease the public health burden of DED in this region.Keywords: ocular surface, regional clinical practice, epidemiology, treatment, patient outcomes

AIM: To analyze research hotspots and trends of artificial intelligence in diabetic retinopathy(DR)based on bibliometrics and high-impact papers.METHODS: Papers on artificial intelligence in DR research published in the Web of Science Core Collection(WoSCC)from January 1, 2012, to December 31, 2022 were retrieved. The data was analyzed by CiteSpace software to examine annual publication number, countries, institutions, source journal, research categories, keywords, and to perform an in-depth analysis of high-impact papers.RESULTS: A total of 1 009 papers on artificial intelligence in DR from 79 countries were included in the study, with 272 papers published in 2022. Notably, China and India contributed 287 and 234 papers, respectively. The United Kingdom exhibited a centrality score of 0.31, while the United States boasted an impressive H-index of 48. Three prominent institutions in the United Kingdom(University of London, Moorfields Eye Hospital, and University College London)and one institution in Egypt(Egyptian Knowledge Bank)all achieved a notable H-index of 14. The primary academic disciplines associated with this research field encompassed ophthalmology, computer science, and artificial intelligence. Burst keywords in the years 2021～2022 included transfer learning, vessel segmentation, and convolutional neural networks.CONCLUSION: China emerged as the leading contributor in terms of publication number in this field, while the United States stood out as a key player. Notably, Egyptian Knowledge Bank and University of London assumed leading roles among research institutions. Additionally, IEEE Access was identified as the most active journal within this domain. The research focus in the field of artificial intelligence in DR has transitioned from AI applications in disease detection and grading to a more concentrated exploration of AI-assisted diagnostic systems. Transfer learning, vessel segmentation, and convolutional neural networks hold substantial promise for widespread applications in this field.

Purpose: To study cases of hardware-associated secondary acquired lacrimal duct obstructions (SALDO) and the role of computed tomography dacryocystography (CT-DCG) scans in its diagnosis and management. Observations: Retrospective, interventional case review of four patients diagnosed as Hardware-associated SALDO, with primary maxillofacial repair performed elsewhere, were analyzed. The mean age was 36.5 years (range: 22–74 years), three of them being males. Left and right lacrimal systems were equally involved. Epiphora, swelling and discharge were the main presenting features. Three lacrimal sacs and nasolacrimal ducts on CT-DCG showed the screws of the orbital fracture plate directly piercing their walls, whereas a single case showed the sac displaced and pierced by the medial side of the orbital floor implant. Two cases underwent dacryocystorhinostomy with intubation, and the remaining two had to undergo dacryocystectomy due to extensive damage. Post-operatively all four cases were doing well at a mean follow-up of 2 months. Conclusions: The present series highlights the role of CT-DCG in delineating spatial relationship of lacrimal drainage system with the surrounding structures, facilitating planning as well as choice of surgery, and anticipating the intraoperative challenges. It also signifies importance of interdisciplinary coordination between oculoplastic and maxillofacial surgeons to avoid iatrogenic trauma to the lacrimal drainage system.

Purpose: To study the emerging trend of development of secondary acquired nasolacrimal duct obstruction (SALDO) in the cases treated for rhino-orbito-cerebral mucormycosis (ROCM). Observations: Prospective, interventional case series of five patients who developed SALDO post-surgical and medical management of ROCM. The mean age was 45.4 years (range: 40–62 years), all five being males. Right lacrimal drainage pathways was involved slightly more than the left (right:left = 3:2). Epiphora and discharge were the main presenting features. All five patients were treated with extensive debridement of the nose, sinuses, orbit and cerebral involvement as needed followed by medical management for ROCM. CT- Dacryocystography for all 5 patients showed obstruction at the lower end of the nasolacrimal duct. The patients underwent external dacryocystorhinostomy with mitomycin-C with or without intubation with good anatomical and functional outcomes at 6 months follow-up. Conclusions and importance: The present series highlights the possible etiology of development of SALDO in cases treated for ROCM, its management and discusses the role of Computed Tomography Dacryocystography (CT-DCG) in understanding the pathophysiology of the development of SALDO along with delineating the spatial relationship of the lacrimal drainage system with the surrounding structures.

The electronic medical record management system plays a crucial role in clinical practice, optimizing the recording and management of healthcare data. To enhance the functionality of the medical record management system, this paper develops a customized schema designed for ophthalmic diseases. A multi-modal knowledge graph is constructed, which is built upon expert-reviewed and de-identified real-world ophthalmology medical data. Based on this data, we propose an auxiliary diagnostic model based on a contrastive graph attention network (CGAT-ADM), which uses the patient's diagnostic results as anchor points and achieves auxiliary medical record diagnosis services through graph clustering. By implementing contrastive methods and feature fusion of node types, text, and numerical information in medical records, the CGAT-ADM model achieved an average precision of 0.8563 for the top 20 similar case retrievals, indicating high performance in identifying analogous diagnoses. Our research findings suggest that medical record management systems underpinned by multimodal knowledge graphs significantly enhance the development of AI services. These systems offer a range of benefits, from facilitating assisted diagnosis and addressing similar patient inquiries to delving into potential case connections and disease patterns. This comprehensive approach empowers healthcare professionals to garner deeper insights and make well-informed decisions., (© 2024. The Author(s).)

There is a growing number of publicly available ophthalmic imaging datasets and open-source code for Machine Learning algorithms. This allows ophthalmic researchers and practitioners to independently perform various deep-learning tasks. With the advancement in artificial intelligence (AI) and in the field of imaging, the choice of the most appropriate AI architecture for different tasks will vary greatly. The best-performing AI-dataset combination will depend on the specific problem that needs to be solved and the type of data available. The article discusses different machine learning models and deep learning architectures currently used for various ophthalmic imaging modalities and for different machine learning tasks. It also proposes the most appropriate models based on accuracy and other important factors such as training time, the ability to deploy the model on clinical devices/smartphones, heatmaps that enhance the self-explanatory nature of classification decisions, and the ability to train/adapt on small image datasets to determine if further data collection is worthwhile. The article extensively reviews the existing state-of-the-art AI methods focused on useful machine-learning applications for ophthalmology. It estimates their performance and viability through training and evaluating architectures with different public and private image datasets of different modalities, such as full-color retinal images, OCT images, and 3D OCT scans. The article is expected to benefit the readers by enriching their knowledge of artificial intelligence applied to ophthalmology., (© 2024. The Author(s).)

Manoj Motwani Cornea Revolution/Motwani LASIK Institute, San Diego, CA, 92121, USACorrespondence: Manoj Motwani, Cornea Revolution/Motwani LASIK Institute, 9710 Scranton Road, Suite 170, San Diego, CA, 92121, USA, Tel +1 858 554-0008, Email drmmlj@gmail.com

Majid Moshirfar,1–3 Joshua S Theis,4 David S Cha,5 Kaiden B Porter,4 Carter J Payne,1,6 Phillip C Hoopes1 1Hoopes Vision Research Center, Hoopes Vision, Draper, UT, USA; 2John A. Moran Eye Center, University of Utah, School of Medicine, Salt Lake City, UT, USA; 3Utah Lions Eye Bank, Murray, UT, USA; 4University of Arizona College of Medicine Phoenix, Phoenix, AZ, USA; 5Saint Louis University, School of Medicine, Saint Louis, MO, USA; 6Department of Ophthalmology, George Washington University School of Medicine and Health Sciences, Washington, DC, USACorrespondence: Majid Moshirfar, Hoopes Vision Research Center, 11820 S. State St. #200, Draper, UT, 84020, USA, Tel +1 801 568 – 0200, Fax +1 415-476-0336, Email cornea2020@me.com

This study examines the impact of social insurance benefit restrictions on physician behaviour, using ophthalmologists as a case study. We examine whether ophthalmologists use their market power to alter their fees and rebates across services to compensate for potential policy-induced income losses. The results show that ophthalmologists substantially reduced their fees and rebates for services directly targeted by the benefit restriction compared to other medical specialists' fees and rebates. There is also some evidence that they increased their fees for services that were not targeted. High-fee charging ophthalmologists exhibited larger fee and rebate responses while the low-fee charging group raise their rebates to match the reference price provided by the policy environment., (© 2024 The Authors. Health Economics published by John Wiley & Sons Ltd.)

Background: Patient education in ophthalmology poses a challenge for physicians because of time and resource limitations. ChatGPT (OpenAI, San Francisco) may assist with automating production of patient handouts on common neuro-ophthalmic diseases., Methods: We queried ChatGPT-3.5 to generate 51 patient education handouts across 17 conditions. We devised the "Quality of Generated Language Outputs for Patients" (QGLOP) tool to assess handouts on the domains of accuracy/comprehensiveness, bias, currency, and tone, each scored out of 4 for a total of 16. A fellowship-trained neuro-ophthalmologist scored each passage. Handout readability was assessed using the Simple Measure of Gobbledygook (SMOG), which estimates years of education required to understand a text., Results: The QGLOP scores for accuracy, bias, currency, and tone were found to be 2.43, 3, 3.43, and 3.02 respectively. The mean QGLOP score was 11.9 [95% CI 8.98, 14.8] out of 16 points, indicating a performance of 74.4% [95% CI 56.1%, 92.5%]. The mean SMOG across responses as 10.9 [95% CI 9.36, 12.4] years of education., Conclusions: The mean QGLOP score suggests that a fellowship-trained ophthalmologist may have at-least a moderate level of satisfaction with the write-up quality conferred by ChatGPT. This still requires a final review and editing before dissemination. Comparatively, the rarer 5% of responses collectively on either extreme would require very mild or extensive revision. Also, the mean SMOG score exceeded the accepted upper limits of grade 8 reading level for health-related patient handouts. In its current iteration, ChatGPT should be used as an efficiency tool to generate an initial draft for the neuro-ophthalmologist, who may then refine the accuracy and readability for a lay readership., Competing Interests: The authors report no conflicts of interest., (Copyright © 2024 by North American Neuro-Ophthalmology Society.)

Prcis: This study demonstrated that the compliance levels with International Council of Ophthalmology (ICO) Guidelines for glaucoma eye care were low for all the elements in both public and private health care settings., Purpose: To determine the compliance with the ICO guidelines for glaucoma eye care among Pakistani ophthalmologists and to compare differences among ophthalmologists practicing in public and private health care settings., Materials and Methods: This was a retrospective chart review, and the records were reviewed according to ICO guidelines. The ICO recommends that each patient with glaucoma be evaluated for 19 items from 3 elements which are history, examination, and investigations. Mean compliance was recorded for each of the 3 elements. The compliance of each item was also checked and then a compared between the 2 settings, that is, public and private health care settings., Results: A total of 394 records were analyzed, with a mean age of 51.9±14.9 years and 232 (58.9%) male patients. Most records were from private settings 339 (86%), and primary open angle glaucoma 163 (41.4%) was the most common diagnosis. Compliance was low for all elements; history (31.8%), examination (61.3%), and investigation (6%). Pupil reaction differed significantly between the 2 groups ( P =0.001)., Conclusion: Pakistan's ophthalmologists, whether in public or private health care settings, lack knowledge of ICO guidelines for glaucoma eye care. This study emphasizes the importance of implementing these guidelines in the general ophthalmology curriculum., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Purpose of Review: The purpose of this review is to evaluate the current state of eco-sustainability in ophthalmology, highlighting key practices, recent advancements, and areas requiring improvement. This review aims to provide ophthalmologists with a comprehensive overview of sustainable practices that can reduce environmental impact., Recent Findings: Recent studies have identified several areas within ophthalmology where sustainable practices can be implemented including multidose eyedrops, adjusting surgical packs, making package inserts available electronically, and reusing surgical instruments. Moreover, there is an increasing emphasis on waste reduction both in the surgical and clinical setting, by decreasing the use of unnecessary materials and implementing more efficient use of recycling programs. Telemedicine has also emerged as a sustainable option, reducing the carbon footprint associated with patient travel. Despite these advancements, significant challenges remain, particularly in balancing the cost and accessibility of sustainable options with traditional practices., Summary: Eco-sustainability in ophthalmology is gaining momentum as the medical community aims to reduce its environmental impact. While progress has been made, further efforts are required to overcome financial and logistical barriers to widespread implementation. Continued research, education, and policy development are essential to advancing eco-sustainable practices, ensuring that environmental considerations become an integral part of ophthalmic care., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Purpose: The aim of this study was to bibliometrically analyze the 100 most-cited articles published in the Veterinary Ophthalmology (VO) journal., Methods: Web of Science was searched for citations of VO articles published in 1998-2022. Tissue and species studied, and first and last author domicile and affiliation were recorded for the 100 most-cited articles and descriptively analyzed., Results: Altogether, the 100 most-cited VO articles have cited a total of 5483 times. Most commonly, these were devoted to the cornea (23%), multiple tissues (19%), and glaucoma (16%). Studies on dogs (36%), horses (17%), and multiple species (15%) were most often cited. Most first/last authors were from the USA (n = 113), Brazil (n = 13), and France and Germany (n = 7 each), and most frequently affiliated with the University of Florida (n = 36), University of Wisconsin-Madison (n = 15), and Animal Health Trust, North Carolina State University, and Ohio State University (n = 6 each). KN Gelatt (n = 9), DE Brooks (n = 6), and FJ Ollivier and EO MacKay (n = 5 each) were the most frequent first or last authors. The greatest number of citations was for articles with KN Gelatt (n = 555), FJ Ollivier (n = 411), and DE Brooks (n = 372) as first or last authors. "The comparative morphology of the tapetum lucidum" by FJ Ollivier et al. (2002) is the most frequently cited article in VO history (n = 178)., Conclusions: This study provides insight into the impact of publishing in VO and a more comprehensive understanding of trends and the most influential contributions to VO., (© 2023 The Authors. Veterinary Ophthalmology published by Wiley Periodicals LLC on behalf of American College of Veterinary Ophthalmologists.)

Artificial neural networks (ANN) are artificial intelligence (AI) techniques used in the automated recognition and classification of pathological changes from clinical images in areas such as ophthalmology, dermatology, and oral medicine. The combination of enterprise imaging and AI is gaining notoriety for its potential benefits in healthcare areas such as cardiology, dermatology, ophthalmology, pathology, physiatry, radiation oncology, radiology, and endoscopic. The present study aimed to analyze, through a systematic literature review, the application of performance of ANN and deep learning in the recognition and automated classification of lesions from clinical images, when comparing to the human performance. The PRISMA 2020 approach (Preferred Reporting Items for Systematic Reviews and Meta-analyses) was used by searching four databases of studies that reference the use of IA to define the diagnosis of lesions in ophthalmology, dermatology, and oral medicine areas. A quantitative and qualitative analyses of the articles that met the inclusion criteria were performed. The search yielded the inclusion of 60 studies. It was found that the interest in the topic has increased, especially in the last 3 years. We observed that the performance of IA models is promising, with high accuracy, sensitivity, and specificity, most of them had outcomes equivalent to human comparators. The reproducibility of the performance of models in real-life practice has been reported as a critical point. Study designs and results have been progressively improved. IA resources have the potential to contribute to several areas of health. In the coming years, it is likely to be incorporated into everyday life, contributing to the precision and reducing the time required by the diagnostic process., (© 2023. The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine.)

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Purpose: With the introduction of ChatGPT, artificial intelligence (AI)-based large language models (LLMs) are rapidly becoming popular within the scientific community. They use natural language processing to generate human-like responses to queries. However, the application of LLMs and comparison of the abilities among different LLMs with their human counterparts in ophthalmic care remain under-reported., Recent Findings: Hitherto, studies in eye care have demonstrated the utility of ChatGPT in generating patient information, clinical diagnosis and passing ophthalmology question-based examinations, among others. LLMs' performance (median accuracy, %) is influenced by factors such as the iteration, prompts utilised and the domain. Human expert (86%) demonstrated the highest proficiency in disease diagnosis, while ChatGPT-4 outperformed others in ophthalmology examinations (75.9%), symptom triaging (98%) and providing information and answering questions (84.6%). LLMs exhibited superior performance in general ophthalmology but reduced accuracy in ophthalmic subspecialties. Although AI-based LLMs like ChatGPT are deemed more efficient than their human counterparts, these AIs are constrained by their nonspecific and outdated training, no access to current knowledge, generation of plausible-sounding 'fake' responses or hallucinations, inability to process images, lack of critical literature analysis and ethical and copyright issues. A comprehensive evaluation of recently published studies is crucial to deepen understanding of LLMs and the potential of these AI-based LLMs., Summary: Ophthalmic care professionals should undertake a conservative approach when using AI, as human judgement remains essential for clinical decision-making and monitoring the accuracy of information. This review identified the ophthalmic applications and potential usages which need further exploration. With the advancement of LLMs, setting standards for benchmarking and promoting best practices is crucial. Potential clinical deployment requires the evaluation of these LLMs to move away from artificial settings, delve into clinical trials and determine their usefulness in the real world., (© 2024 The Authors. Ophthalmic and Physiological Optics published by John Wiley & Sons Ltd on behalf of College of Optometrists.)

Objectives: To compare the performance of a composite citation score (c-score) and its six constituent citation indices, including H-index, in predicting winners of the Weisenfeld Award in ophthalmologic research. Secondary objectives were to explore career and demographic characteristics of the most highly cited researchers in ophthalmology., Methods: A publicly available database was accessed to compile a set of top researchers in the field of clinical ophthalmology and optometry based on Scopus data from 1996 to 2021. Each citation index was used to construct a multivariable model adjusted for author demographic characteristics. Using area under the receiver operating curve (AUC) analysis, each index's model was evaluated for its ability to predict winners of the Weisenfeld Award in Ophthalmology, a research distinction presented by the Association for Research in Vision and Ophthalmology (ARVO). Secondary analyses investigated authors' self-citation rates, career length, gender, and country affiliation over time., Results: Approximately one thousand unique authors publishing primarily in clinical ophthalmology/optometry were analyzed. The c-score outperformed all other citation indices at predicting Weisenfeld Awardees, with an AUC of 0.99 (95% CI: 0.97-1.0). The H-index had an AUC of 0.89 (95% CI: 0.83-0.96). Authors with higher c-scores tended to have longer career lengths and similar self-citation rates compared to other authors. Sixteen percent of authors in the database were identified as female, and 64% were affiliated with the United States of America., Conclusion: The c-score is an effective metric for assessing research impact in ophthalmology, as seen through its ability to predict Weisenfeld Awardees., (© 2024. The Author(s), under exclusive licence to The Royal College of Ophthalmologists.)

As climate change demands increasingly urgent mitigation of greenhouse gas emissions, the health sector needs to do its part to decarbonise. Ophthalmologists share concerns about climate change and seek opportunities to reduce their environmental impact. When measuring the footprint of ophthalmology, major contributions are from patient travel to clinics, and from the large amounts of single-use disposable materials that are consumed during surgeries and sterile procedures. Ophthalmic services in India have already demonstrated systems that consume far fewer of these products through efficient throughput of patients and the safe reuse of many items, while maintaining equivalent safety and quality outcomes. Choosing these low-cost low-emission options would seem obvious, but many ophthalmologists experience barriers that prevent them operating as Indian surgeons do. Understanding these barriers to change is a crucial step in the decarbonisation of ophthalmology and the health sector more broadly., (© 2024 Royal Australian and New Zealand College of Ophthalmologists.)

Purpose: To outline the environmental and financial costs associated with single-use topical antiseptic (5% povidone-iodine [PVI] solution) in the ophthalmology theatre setting and explore potential methods of repurposing topical antiseptics., Setting: Large tertiary referral center (Flinders Medical Centre, Adelaide, Australia)., Design: Single-center prospective observational study., Methods: Dedicated containers placed in the ophthalmology theatre of the participating institution were used to collect the number of disposed PVI bottles over the 3-week study period. Descriptive statistics were employed to determine the associated packaging bottle weight, mean unused quantity (mL) and cost of the single-use topical PVI solution and costs of unused antiseptic., Results: The total amount of waste generated from the use of single-use PVI bottles during the surveillance period was 10.823 kg, of which 21.9% was preventable; 72% of unused PVI by weight were discarded during the study period, equating to approximately $21 857.60 in wasted pharmaceutical content per year. 100% of the discarded PVI was successfully redirected and reused at a local wildlife rescue organisation and diverted from landfill., Conclusions: This study has demonstrated that the utilization of single-use topical preoperative PVI preparations is associated with significant financial, pharmaceutical and environmental waste. Future studies examining the recyclability of single-use PVI bottles and investigating systematic strategies to recycle and repurpose this waste are required., (Copyright © 2023 Published by Wolters Kluwer on behalf of ASCRS and ESCRS.)

Medical holograms facilitate the learning and advanced medical training in the field of ophthalmology and help to visualize surgical processes with a new abundance of detail. Through implementing three-dimensional datasets the learning process of microsurgical procedures in ophthalmology is facilitated. Furthermore, medical holograms can be used as a multimodal tool for patient education., (© 2022. The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature.)

Purpose: Knowledge of how blood perfusion is affected during and after reconstructive surgery is of great importance to predict the survival of grafts and flaps. When commonly used reconstructive procedures were developed a century ago, they were based on empirical observations of clinical outcome., Methods: This is a comprehensive literature review that summarizes the current state of knowledge regarding microvascular perfusion monitoring during oculoplastic procedures., Results: Over the years, a number of techniques for perfusion monitoring have been developed as an attempt to be more objective than clinical examination using traditional methods such as observations of skin temperature, turgor, color, smell, and capillary refill time. There are limited publications regarding microvascular perfusion monitoring during reconstructive procedures in the periocular area. Modern laser-based techniques have been attractive due to their noninvasive nature., Conclusions: Today, modern, noninvasive techniques are available to monitor perfusion during and after surgery. This has increased our knowledge on the perfusion in common oculoplastic surgery procedures. A detailed understanding of how blood perfusion is affected will hopefully allow the improvement of surgical techniques for better clinical outcome., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Society of Ophthalmic Plastic and Reconstructive Surgery, Inc.)

Private equity (PE) has grown rapidly in medicine. The reintroduction of PE in ophthalmology has necessitated a greater understanding of the potential contractual relationships with PE firms from both a practice owner and an employee physician perspective. There are contractual obligations that need to be met as PE agreements are designed to ensure clear investment patterns and abide by legal mandates. A practice owner entering into a PE contract needs to consider how the practice is being valued, what their obligations are to the PE entity after the sale has been completed to attain full compensation and understand their new role at the practice. On the other hand, employee ophthalmologists must carefully evaluate the compensation package being offered in terms of the type of equity, vesting of shares, obligations to the PE firm under the agreement such as a noncompete clause, and what occurs under a subsequent sale of the practice. Overall, contractual considerations in the private equity era need to be carefully evaluated in order to ensure the agreement is in the best interest for the clinician, practice, and their patients., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Purpose of Review: In the absence of long-term data of the effects of private equity in ophthalmology, this article reviews the role of private equity in other medical specialties as a guide to the future for ophthalmology., Recent Findings: Across an array of medical specialties, including anesthesiology, dermatology, emergency medicine, ophthalmology/optometry, radiology, and urology, medical practices are being consolidated into a few larger platform groups. Although there has been a short-term financial success for both private equity firms and senior medical practice partners, there exists broad skepticism from peer-reviewed publications and the national media., Summary: Although the impact of private equity on ophthalmology is largely speculative, ophthalmology may follow some of the trends observed in other medical specialties. These trends include increased volume of services, increased profits, improved payer mix, increased payment per patient visit, increased use of midlevel practitioners, decreased physician autonomy, and decreased physician salaries., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Purpose of Review: To assess the impact of private equity acquisitions on physician career considerations, with particular attention to stage of career., Recent Findings: Recent studies have demonstrated a clear increase in private equity acquisitions in ophthalmology, particularly in retina-oriented practices. Survey-related publications of recent fellow graduates may provide insights regarding considerations of early career ophthalmologists, whereas commentaries from senior ophthalmologists offer insights to considerations of late career physicians. To date, no published evidence exists regarding the differential financial and/or professional effects of private equity acquisitions on ophthalmologists with regards to career stage. Such effects may differ on the specific structure, nature, and terms of the private equity acquisition., Summary: Private equity acquisitions in ophthalmology may have several short-term, mid-term, and long-term effects on physicians over a variety of financial and career considerations. As such, there may be a differential effect of private equity acquisitions on early, mid, and late career physicians. Future outcome-related data will be necessary to fully understand the impact of private equity acquisitions on physicians both professionally and with regards to clinical care., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Purpose: Artificial intelligence (AI) has entered the field of medicine, and ophthalmology is no exception. The objective of this study was to report on scientific production and publication trends, to identify journals, countries, international collaborations, and major MeSH terms involved in AI in ophthalmology research., Methods: Scientometric methods were used to evaluate global scientific production and development trends in AI in ophthalmology using PubMed and the Web of Science Core Collection., Results: A total of 1356 articles were retrieved over the period 1966-2019. The yearly growth of AI in ophthalmology publications has been 18.89% over the last ten years, indicating that AI in ophthalmology is a very attractive topic in science. Analysis of the most productive journals showed that most were specialized in computer and medical systems. No journal was found to specialize in AI in ophthalmology. The USA, China, and the UK were the three most productive countries. The study of international collaboration showed that, besides the USA, researchers tended to collaborate with peers from neighboring countries. Among the twenty most frequent MeSH terms retrieved, there were only four related to clinical topics, revealing the retina and glaucoma as the most frequently encountered subjects of interest in AI in ophthalmology. Analysis of the top ten Journal Citation Reports categories of journals and MeSH terms for articles confirmed that AI in ophthalmology research is mainly focused on engineering and computing and is mainly technical research related to computer methods., Conclusions: This study provides a broad view of the current status and trends in AI in ophthalmology research and shows that AI in ophthalmology research is an attractive topic focusing on retinal diseases and glaucoma. This study may be useful for researchers in AI in ophthalmology such as clinicians, but also for scientists to better understand this research topic, know the main actors in this field (including journals and countries), and have a general overview of this research theme., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Adequate near and intermediate visual capacity is important in performing everyday tasks, especially after the introduction of smartphones and computers in our professional and recreational activities. Primary objective of this study was to review all available reading tests both conventional and digital and explore their integrated characteristics. A systematic review of the recent literature regarding reading charts was performed based on the PubMed, Google Scholar, and Springer databases between February and March 2021. Data from 11 descriptive and 24 comparative studies were included in the present systematic review. Clinical settings are still dominated by conventional printed reading charts; however, the most prevalent of them (i.e., Jaeger type charts) are not validated. Reliable reading capacity assessment is done only by those that comply with the International Council of Ophthalmology (ICO) recommendations. Digital reading tests are gaining popularity both in clinical and research settings and are differentiated in standard computer-based applications that require installation either in a computer or a tablet (e.g., Advanced VISION Test and web-based ones e.g., Democritus Digital Acuity Reading Test requires no installation). It is evident that validated digital tests will prevail in future clinical or research settings and it is upon ophthalmologists to select the one most compatible with their examination routine.

This paper provides comprehensive insights into the cornea and its diseases, with a particular focus on keratoconus. This paper explores the cornea's function in maintaining ocular health, detailing its anatomy, pathological conditions, and the latest developments in diagnostic techniques. Keratoconus is discussed extensively, covering its subtypes, etiology, clinical manifestations, and the application of the Q-value for quantification. Several diagnostic techniques, such as corneal topography, are crucial points of discussion. This paper also examines the use of machine learning models, specifically Decision Tree and Nearest Neighbor Analysis, which enhance the accuracy of diagnosing based on topographical corneal parameters from corneal topography. These models provide valuable insights into disease progression and aid in clinical decision making. Integrating these technologies in medical research opens promising avenues for enhanced disease detection. Our findings demonstrate the effectiveness of Decision Tree and Nearest Neighbor Analysis in classifying and predicting conditions based on corneal parameters. The Decision Tree achieved classification accuracy of 62% for training and 65.7% for testing, while Nearest Neighbor Analysis yielded 65.4% for training and 62.6% for holdout samples. These models offer valuable insights into the progression and severity of keratoconus, aiding clinicians in treatment and management decisions. [ABSTRACT FROM AUTHOR]

Цель работы — изучить эффективность комплексного лечения химических ожогов глаз с использованием фотодинамической терапии (ФДТ) и инстилляций виксипина по данным импрессионной цитологии (ИЦ) и биохимическим показателям слезной жидкости (СЖ). Материал и методы. Обследовано и пролечено 104 пациента (146 глаз) в возрасте от 18 до 72 лет с ожогом глаз I, II и III степени. К стандартному лечению добавлена ФДТ (I группа, 35 пациентов, 48 глаз) и сочетание ФДТ с инстилляциями препарата Виксипин (Солофарм, Россия) — глазные капли (II группа, 32 пациента, 46 глаз). Группу сравнения (стандартная терапия) составили 37 пациентов (52 глаза). Эффективность лечения оценивалась с помощью ИЦ и биохимических анализов СЖ на 7-й день лечения.Результаты. Исходные данные ИЦ свидетельствуют о смещении показателей цитограммы в сторону ядерных структур, во всех группах ядерно-цитоплазматическое отношение (ЯЦО) составило в среднем 0,068. В результате лечения у пациентов основных (I и II) групп определялось преобладание репаративных процессов в эпителиальных клетках, при этом ЯЦО увеличилось до 0,290 ± 0,010 в I и 0,320 ± 0,014 во II группе, что превышало в 3,9 и 4,5 раза соответственно аналогичные показатели в группе сравнения. Уровень стабильных метаболитов оксида азота в СЖ при добавлении виксипина достоверно снизился по отношению к значениям до лечения в 1,59 раза и составил 4,21 ± 0,32 мк моль/л. Данный показатель оказался в 1,23 раза ниже, чем в I группе, и приблизился к нормативным показателям (3,52 ± 0,23), превышая их в 1,19 раза. Заключение. Добавление ФДТ и виксипина к стандартному лечению химических ожогов глаз усиливает регенерацию ожоговой поверхности, нормализует показатели анти

Purpose: To identify trends in female pediatric ophthalmologist authorship and representation at the American Academy of Ophthalmology (AAO) Annual Meeting from 2018 to 2022. Methods: Participant data from 2018 to 2022 were collected from the AAO website, organized by conference activity (papers, posters, instruction courses, videos, symposia, subspecialty day, and awards), and analyzed by sex using an online tool. Chi-squared and odds ratio analyses were performed to determine trends in authorship sex and associations between the sex of paper and poster authors in each category. Results: Of 923 pediatric ophthalmology presentations from 2018 to 2022, 46.2% (426 of 923) of presenters and 46.6% (281 of 603) of unique individual participants were women. Overall, 48% (174 of 362) of first and senior authors of papers and posters were women. No significant difference or association between female first and senior authors was observed (52% vs 44%, P =.14; odds ratio 1.59, P =.13). There was no significant change in the proportion of total female presenters from 2018 to 2019 (−3.09%, P =.53), 2019 to 2020 (0.76%, P =.88), 2020 to 2021 (9.09%, P =.09), 2021 to 2022 (−5.68%, P =.30), or 2018 to 2022 (1.08%, P =.84). Conclusions: Since 2018, female representation at the AAO Annual Meeting has remained consistent and nears 50%. The lack of a significant difference between the proportion of female first and senior authors suggests that junior female pediatric ophthalmologists are climbing the ranks and more broadly engaging in mentorship roles. Considering the increasing proportion of female pediatric ophthalmologists, the absence of corollary, statistically significant increases in female participation may be of concern. [J Pediatr Ophthalmol Strabismus. 2024;61(1):6–13.] [ABSTRACT FROM AUTHOR]

Generative artificial intelligence (AI) has revolutionized medicine over the past several years. A generative adversarial network (GAN) is a deep learning framework that has become a powerful technique in medicine, particularly in ophthalmology for image analysis. In this paper we review the current ophthalmic literature involving GANs, and highlight key contributions in the field. We briefly touch on ChatGPT, another application of generative AI, and its potential in ophthalmology. We also explore the potential uses for GANs in ocular imaging, with a specific emphasis on 3 primary domains: image enhancement, disease identification, and generating of synthetic data. PubMed, Ovid MEDLINE, Google Scholar were searched from inception to October 30, 2022, to identify applications of GAN in ophthalmology. A total of 40 papers were included in this review. We cover various applications of GANs in ophthalmic-related imaging including optical coherence tomography, orbital magnetic resonance imaging, fundus photography, and ultrasound; however, we also highlight several challenges that resulted in the generation of inaccurate and atypical results during certain iterations. Finally, we examine future directions and considerations for generative AI in ophthalmology., Competing Interests: Declaration of Competing Interest The authors have no conflicts of interest to declare., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Adequate health literacy has been shown to be important for the general health of a population. To address this, it is recommended that patient-targeted medical information is written at a sixth-grade reading level. To make well-informed decisions about their health, patients may want to interact directly with peer-reviewed open access scientific articles. However, studies have shown that such text is often written with highly complex language above the levels that can be comprehended by the general population. Previously, we have published on the use of large language models (LLMs) in easing the readability of patient-targeted health information on the internet. In this study, we continue to explore the advantages of LLMs in patient education., Objective: This study aimed to explore the use of LLMs, specifically ChatGPT (OpenAI), to enhance the readability of peer-reviewed scientific articles in the field of ophthalmology., Methods: A total of 12 open access, peer-reviewed papers published by the senior authors of this study (ET and RA) were selected. Readability was assessed using the Flesch-Kincaid Grade Level and Simple Measure of Gobbledygook tests. ChatGPT 4.0 was asked "I will give you the text of a peer-reviewed scientific paper. Considering that the recommended readability of the text is 6th grade, can you simplify the following text so that a layperson reading this text can fully comprehend it? - Insert Manuscript Text -". Appropriateness was evaluated by the 2 uveitis-trained ophthalmologists. Statistical analysis was performed in Microsoft Excel., Results: ChatGPT significantly lowered the readability and length of the selected papers from 15th to 7th grade (P<.001) while generating responses that were deemed appropriate by expert ophthalmologists., Conclusions: LLMs show promise in improving health literacy by enhancing the accessibility of peer-reviewed scientific articles and allowing the general population to interact directly with medical literature., (©Reza Kianian, Deyu Sun, William Rojas-Carabali, Rupesh Agrawal, Edmund Tsui. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 24.12.2024.)

Unlabelled: The EyeMatics project, embedded as a clinical use case in Germany's Medical Informatics Initiative, is a large digital health initiative in ophthalmology. The objective is to improve the understanding of the treatment effects of intravitreal injections, the most frequent procedure to treat eye diseases. To achieve this, valuable patient data will be meaningfully integrated and visualized from different IT systems and hospital sites. EyeMatics emphasizes a governance framework that actively involves patient representatives, strictly implements interoperability standards, and employs artificial intelligence methods to extract biomarkers from tabular and clinical data as well as raw retinal scans. In this perspective paper, we delineate the strategies for user-centered implementation and health care-based evaluation in a multisite observational technology study., (© Julian Varghese, Alexander Schuster, Broder Poschkamp, Kemal Yildirim, Johannes Oehm, Philipp Berens, Sarah Müller, Julius Gervelmeyer, Lisa Koch, Katja Hoffmann, Martin Sedlmayr, Vinodh Kakkassery, Oliver Kohlbacher, David Merle, Karl Ulrich Bartz-Schmidt, Marius Ueffing, Dana Stahl, Torsten Leddig, Martin Bialke, Christopher Hampf, Wolfgang Hoffmann, Sebastian Berthe, Dagmar Waltemath, Peter Walter, Myriam Lipprandt, Rainer Röhrig, Jens Julian Storp, Julian Alexander Zimmermann, Lea Holtrup, Tobias Brix, Andreas Stahl, Nicole Eter. Originally published in JMIR Medical Informatics (https://medinform.jmir.org).)

Vision computer-aided diagnostic methods have been used in early ophthalmic disease screening and diagnosis. However, the limited output formats of these methods lead to poor human-computer interaction and low clinical applicability value. Thus, ophthalmic visual question answering is worth studying. Unfortunately, no practical solutions exist before Large Language Models(LLMs). In this paper, we investigate the ophthalmic visual diagnostic interaction problem. We construct an ophthalmology large language-and-vision assistant, OphGLM, consisting of an image encoder, a text encoder, a fusion module, and an LLM module. We establish a new Chinese ophthalmic fine-tuning dataset, FundusTuning-CN, including the fundus instruction and conversation sets. Based on FundusTuning-CN, we establish a novel LLM-tuning strategy to introduce visual model understanding and ophthalmic knowledge into LLMs at a low cost and high efficiency. Leveraging the pre-training of the image encoder, OphGLM demonstrates strong visual understanding and surpasses open-source visual language models in common fundus disease classification tasks. The FundusTuning-CN enables OphGLM to surpass open-source medical LLMs in both ophthalmic knowledge and interactive capabilities. Our proposed OphGLM has the potential to revolutionize clinical applications in ophthalmology. The dataset, code, and models will be publicly available at https://github.com/ML-AILab/OphGLM., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Objectives: This bibliometric analysis aimed to clarify research characteristics and trends in research on uveitis by analyzing the top 100 most-cited articles. Methods: We used the Web of Science database to search articles published in English from January 1, 1950, to February 10, 2022, without other restrictions. The 100 most-cited articles related to uveitis were screened. The publication year, institution, author, journal, country, research topic, and research type of each article were analyzed. Results: The citations of the top 100 articles ranged from 144 to 2292 times. The years 2004 and 2005 included the largest number of articles published, with 17 in total. Most of the papers were published in Ophthalmology (n = 19), a specialized ophthalmology journal. The top 100 articles originated from 14 countries, with the most from the USA (n = 44). Twenty research institutions and 18 authors contributed two or more articles, with the National Eye Institute (USA) (n = 10) and Robert B. Nussenblatt (n = 10) contributing the most. The types of studies were mainly clinical studies (n = 64), focusing on the treatment of uveitis (n = 36). Conclusion: This study summarizes and analyzes the research characteristics and trends of uveitis. The contribution of the USA is explained, the past and current treatments of uveitis are emphasized, and the directions of future research are clarified. [ABSTRACT FROM AUTHOR]