Objective:To analyze the positive impact of pharmaceutical care in the ophthalmology perioperative period on the rational use of antibiotics.Methods:A total of 115 patients who underwent ophthalmological surgery betwe...Objective:To analyze the positive impact of pharmaceutical care in the ophthalmology perioperative period on the rational use of antibiotics.Methods:A total of 115 patients who underwent ophthalmological surgery between March and June 2023 were selected as the control group,receiving routine medication management.Another 115 patients who underwent ophthalmological surgery between July and October 2023 were selected as the observation group,receiving pharmaceutical care.The rationality of medication use,mastery of medication knowledge,medication compliance,and adverse reaction rates were compared between the two groups.Results:The observation group had higher rationality of medication use,higher scores for mastery of medication knowledge,higher medication compliance,and a lower adverse reaction rate compared to the control group(P<0.05).Conclusion:The combination of antibiotic therapy and pharmaceutical care in the ophthalmology perioperative period can improve the rationality of medication use,enhance patients’mastery of medication knowledge,increase their medication compliance,and prevent adverse reactions to antibiotics.展开更多
ChatGPT technology based on large language models(LLM)shows great potential in improving the quality of medical care,assisting clinical decision making and optimizing patient communication.The role of ChatGPT in ophth...ChatGPT technology based on large language models(LLM)shows great potential in improving the quality of medical care,assisting clinical decision making and optimizing patient communication.The role of ChatGPT in ophthalmology is still in its infancy.This review aims to explore the application prospect of ChatGPT in ophthalmology.Relevant literature was reviewed and analyzed,and the application prospects of LLM represented by ChatGPT in ophthalmology were summarized,including clinical assisted diagnosis,patient education and communication,history collection and text writing,clinical research,and medical education,etc.At the same time,the challenges and solutions faced by ChatGPT in ophthalmology were pointed out.Its safety,efficacy and ethics remain controversial in practical applications.Therefore,it is necessary to strengthen the supervision and research on its application to ensure safety and effectiveness.In the future,with the development of technology,ChatGPT is expected to play a greater role in ophthalmology and enhance the medical experience.展开更多
Background:With the rapid development of artificial intelligence(AI),large language models(LLMs)have emerged as a potent tool for invigorating ophthalmology across clinical,educational,and research fields.Their accura...Background:With the rapid development of artificial intelligence(AI),large language models(LLMs)have emerged as a potent tool for invigorating ophthalmology across clinical,educational,and research fields.Their accuracy and reliability have undergone tested.This bibliometric analysis aims to provide an overview of research on LLMs in ophthalmology from both thematic and geographical perspectives.Methods:All existing and highly cited LLM-related ophthalmology research papers published in English up to 24th April 2025 were sourced from Scopus,PubMed,and Web of Science.The characteristics of these publications,including publication output,authors,journals,countries,institutions,citations,and research domains,were analyzed using Biblioshiny and VOSviewer software.Results:A total of 277 articles from 1,459 authors and 89 journals were included in this study.Although relevant publications began to appear in 2019,there was a significant increase starting from 2023.He M and Shi D are the most prolific authors,while Investigative Ophthalmology&Visual Science stands out as the most prominent journal.Most of the top-publishing countries are high-income economies,with the USA taking the lead,and the University of California is the leading institution.VOSviewer identified 5 clusters in the keyword co-occurrence analysis,indicating that current research focuses on the clinical applications of LLMs,particularly in diagnosis and patient education.Conclusions:While LLMs have demonstrated effectiveness in retaining knowledge,their accuracy in image-based diagnosis remains limited.Therefore,future research should investigate fine-tuning strategies and domain-specific adaptations to close this gap.Although research on the applications of LLMs in ophthalmology is still in its early stages,it holds significant potential for advancing the field.展开更多
AIM:To evaluate residents’perceptions and attitudes toward the various aspects of a comprehensive ophthalmic examination,and to determine if these factors correlate with their choices for fellowship and future career...AIM:To evaluate residents’perceptions and attitudes toward the various aspects of a comprehensive ophthalmic examination,and to determine if these factors correlate with their choices for fellowship and future career plans.METHODS:This is a cross-sectional study.A questionnaire on the perception of the ophthalmic exam was sent via SurveyMonkey to ophthalmology residents throughout Israel.Eighty of them(one-half of all ophthalmology residents in 2019)completed it.The first part related to how they perceived each component of the ophthalmic evaluation.The second part related to their future fellowship plans.The Chi-squared test was used to compare categorical variables and Student’s t-test and One-way ANOVA were used to compare continuous variables.Multivariate logistic regression analysis was applied as needed to detect interactions between variables and to exclude confounder effects.RESULTS:Slit-lamp examination of the anterior and posterior segments ranked as the most likeable aspects,whereas gonioscopy,ocular motility examination and visual acuity assessment were least likeable.Anterior segment and retina subspecialties were the ones most sought after.Forty-nine respondents(61.3%)noted a direct correlation between their preferred parts of comprehensive ophthalmic evaluations and their choice of subspecialty.Perceptions of selected components of those evaluations were significantly associated with responders’intentions to pursue anterior segment,retina,or oculoplastic fellowships(P<0.05).CONCLUSION:Perspectives of residents toward the ophthalmic examination,and most specifically its individual components,play an important role in their choice of subspecialty training.展开更多
This paper analyzes the current status,technological developments,academic exchange platforms,and future challenges and solutions in the field of intelligent ophthalmology(IO)in China.In terms of technology,significan...This paper analyzes the current status,technological developments,academic exchange platforms,and future challenges and solutions in the field of intelligent ophthalmology(IO)in China.In terms of technology,significant progress has been made in various areas,including diabetic retinopathy,fundus image analysis,quality assessment of medical artificial intelligence products,clinical research methods,technical evaluation,and industry standards.Researchers continually enhance the safety and standardization of IO technology by formulating a series of clinical application guidelines and standards.The establishment of domestic and international academic exchange platforms provides extensive collaboration opportunities for professionals in various fields,and various academic journals serve as publication platforms for IO research.However,challenges such as technological innovation,data privacy and security,lagging regulations,and talent shortages still pose obstacles to future development.To address these issues,future efforts should focus on strengthening technological research and development,regulatory framework construction,talent cultivation,and increasing patient awareness and acceptance of new technologies.By comprehensively addressing these challenges,IO in China is poised to further lead the industry’s development on a global scale,bringing more innovation and convenience to the field of ophthalmic healthcare.展开更多
Our goal as medical educators is for our students to learn what they need to know and competently perform ophthalmic procedures.In addition,the students need to have good communication skills and behave professionally...Our goal as medical educators is for our students to learn what they need to know and competently perform ophthalmic procedures.In addition,the students need to have good communication skills and behave professionally and ethically(1,2).Most medical educators are not taught how to teach but rather learn by role-modeling their mentors.This can be good or bad depending on the mentor!In addition,the amount of knowledge and numbers of surgical procedures is ever increasing and yet,in most countries,the amount of time to train and become competent is not changing.Thus,our goal of creating competent ophthalmologists is ever more challenging.展开更多
Background:Research innovations inocular disease screening,diagnosis,and management have been boosted by deep learning(DL)in the last decade.To assess historical research trends and current advances,we conducted an ar...Background:Research innovations inocular disease screening,diagnosis,and management have been boosted by deep learning(DL)in the last decade.To assess historical research trends and current advances,we conducted an artificial intelligence(AI)-human hybrid analysis of publications on DL in ophthalmology.Methods:All DL-related articles in ophthalmology,which were published between 2012 and 2022 from Web of Science,were included.500 high-impact articles annotated with key research information were used to fine-tune a large language models(LLM)for reviewing medical literature and extracting information.After verifying the LLM's accuracy in extracting diseases and imaging modalities,we analyzed trend of DL in ophthalmology with 2535 articles.Results:Researchers using LLM for literature analysis were 70%(P=0.0001)faster than those who did not,while achieving comparable accuracy(97%versus 98%,P=0.7681).The field of DL in ophthalmology has grown 116%annually,paralleling trends of the broader DL domain.The publications focused mainly on diabetic retinopathy(P=0.0003),glaucoma(P=0.0011),and age-related macular diseases(P=0.0001)using retinal fundus photographs(FP,P=0.0015)and optical coherence tomography(OCT,P=0.0001).DL studies utilizing multimodal images have been growing,with FP and OCT combined being the most frequent.Among the 500 high-impact articles,laboratory studies constituted the majority at 65.3%.Notably,a discernible decline in model accuracy was observed when categorizing by study design,notwithstanding its statistical insignificance.Furthermore,43 publicly available ocular image datasets were summarized.Conclusion:This study has characterized the landscape of publications on DL in ophthalmology,by identifying the trends and breakthroughs among research topics and the fast-growing areas.This study provides an efficient framework for combined AI-human analysis to comprehensively assess the current status and future trends in the field.展开更多
Objective:To analyze the status of ophthalmology drug clinical trial institutions in China following the implementation of the registration system and provide a reference for their development.Methods:An analysis was ...Objective:To analyze the status of ophthalmology drug clinical trial institutions in China following the implementation of the registration system and provide a reference for their development.Methods:An analysis was conducted using data from the Drug Clinical Trial Institution Registration Management Information Platform and the Drug Clinical Trial Registration and Information Publicity Platform of the National Medical Products Administration.The search period was up to April 19,2024.Results:As of April 19,2024,314 ophthalmology-specific institutions were registered nationwide,comprising 274 comprehensive medical institutions and 40 specialized ophthalmology institutions,representing a 245%increase compared to the qualification certification phase.There were 965 major researchers in ophthalmology,accounting for 6.3%of the total number of researchers across all registered ophthalmology institutions.These institutions were predominantly located in economically developed areas such as Guangdong,Zhejiang,and Jiangsu Provinces,with the top five provinces and cities comprising 39.8%of the total registered institutions.Beijing had the highest number of major researchers(126),with their distribution positively correlated with the geographic spread of registered institutions.Furthermore,as of April 19,2024,there were 216 clinical drugs related to eye diseases,with the top three provinces conducting 77.8%of national clinical trial projects.The number of institutions was directly proportional to the volume of clinical trials conducted.Conclusion:The implementation of the registration system has facilitated the release of ophthalmic medical resources.However,regional disparities remain in the number of ophthalmology-specific institutions,the availability of major investigators,and the distribution of clinical trial projects.展开更多
We present the results from a patient with relapsing optic neuropathy treated within the Stem Cell Ophthalmology Treatment Study （SCOTS）. SCOTS is an Institutional Review Board ap- proved clinical trial and has beco...We present the results from a patient with relapsing optic neuropathy treated within the Stem Cell Ophthalmology Treatment Study （SCOTS）. SCOTS is an Institutional Review Board ap- proved clinical trial and has become the largest ophthalmology stem cell study registered at the National Institutes of Health to date （www.clinicaltrials.gov Identifier NCT 01920867）. SCOTS utilizes autologous bone marrow-derived stem cells （BMSCs） for treatment of retinal and optic nerve diseases. Pre-treatment and post-treatment comprehensive eye exams of a 54 year old female patient were performed both at the Florida Study Center, USA and at The Eye Center of Columbus, USA. As a consequence of a relapsing optic neuritis, the patient＇s previously normal visual acuity decreased to between 20/350 and 20/400 in the right eye and to 20/70 in the left eye. Significant visual field loss developed bilaterally. The patient underwent a right eye vitrectomy with injection of BMSCs into the optic nerve of the right eyeand retrobulbar, subtenon and in- travitreal injection of BMSCs in the left eye. At 15 months after SCOTS treatment, the patient＇s visual acuity had improved to 20/150 in the right eye and 20/20 in the left eye. Bilateral visual fields improved markedly. Both macular thickness and fast retinal nerve fiber layer thickness were maximally improved at 3 and 6 months after SCOTS treatment. The patient also reduced her mycophenylate dose from 1,500 mg per day to 500 mg per day and required no steroid pulse therapy during the 15-month follow up.展开更多
This is a review education paper on the current ophthalmology simulators utilized worldwide for undergraduate and postgraduate training. At present, various simulators such as the EYE Exam Simulator （Kyoto Kagaku Co....This is a review education paper on the current ophthalmology simulators utilized worldwide for undergraduate and postgraduate training. At present, various simulators such as the EYE Exam Simulator （Kyoto Kagaku Co. Ltd., Kyoto, Japan）, Eyesi direct ophthalmoscope simulator （VRmagic, GmbH, Mannheim, Germany）, Eyesi indirect ophthalmoscope simulator （VRmagic, GmbH, Mannheim, Germany） and Eyesi cataract simulators （VRmagic, GmbH, Mannheim, Germany）. These simulators are thought to be able to reduce the initial learning curve for the ophthalmology training but further research will need to be conducted to assess the effectiveness of the simulation-assisted ophthalmology training. Future research will be of great value to assess the medical students and residents responses and performance regarding the usefulness of the individual eye simulator.展开更多
AIM:To evaluate the flipped classroom model for teaching horizontal strabismus didactics in an ophthalmology residency program in China as part of a visiting professorship from the United States.METHODS:Residents from...AIM:To evaluate the flipped classroom model for teaching horizontal strabismus didactics in an ophthalmology residency program in China as part of a visiting professorship from the United States.METHODS:Residents from an ophthalmology residency program in China were invited to participate in flipped classroom sessions taught by an experienced American ophthalmology faculty in 2018.Residents were instructed to watch a pre-class video lecture prior to the in-class-casebased activity.Content tests(5 Ophthalmic Knowledge Assessment Program style questions)and surveys were administered before and after the classroom sessions(100%response rate).These results were compared to that of an American cohort who were taught the same content.RESULTS:The Chinese cohort of 12 residents preferred the flipped classroom to the traditional classroom at higher rates than the American cohort of 40 residents(92%vs 55%,P=0.04)and felt that all ophthalmology topics would be appropriate for the flipped classroom teaching style(P-values between 0.008 and<0.001).In both Chinese and American cohorts,we found that the exotropia curriculum saw a small but significant improvement in performance following the flipped classroom session(P=0.025 for Chinese residents;P=0.001 for US residents),whereas scores in both groups for the esotropia course did not significantly improve.CONCLUSION:This is the first study to evaluate the flipped classroom model implemented by a visiting ophthalmology professor in a global outreach setting.The flipped classroom sessions are viewed favorably by the Chinese residents relative to the US cohort with a modest impact on knowledge.Decreased in-person interpreter requirement and increased student engagement make this model valuable in cross-cultural visiting professorship settings.Finally,the flipped classroom may lend itself well to a virtual format to prevent the transmission of COVID-19,although such a format requires further study.展开更多
AIM: To estimate the prevalence of diabetic retinopathy(DR) in a diabetic population of the public health system. METHODS: This non-experimental, descriptive and crosssectional study, with no direct control over the v...AIM: To estimate the prevalence of diabetic retinopathy(DR) in a diabetic population of the public health system. METHODS: This non-experimental, descriptive and crosssectional study, with no direct control over the variables analysed, was carried out by the Telemedicine Unit of the University of Concepción(TELMED) and the Family Health Centers(CESFAM) of the Health Service Concepción, Chile, among a population of 7382 diabetic patients of the public health system, from October 2014 to June 2015. Two digital images for each patient’s eyes were obtained and uploaded to the TELMED tele-ophthalmology platform. The images were remotely evaluated by a retina expert ophthalmologist for diagnosis. Treatment and a referral(if required) were recommended, and an individualised report for each patient was sent to the place of origin.RESULTS: The prevalence of DR in this study was 14.9%. Of these, 48.7% had mild non-proliferative DR(NPDR), 30.8% moderate NPDR, 15.9% severe NPDR, and 4.6% proliferative DR. Of the patients with DR, 17.8% were referred for fluorescein angiography, 4.3% for panretinal photocoagulation, 1.2% for vitrectomy, and 0.4% for cataract surgery.CONCLUSION: The use of telemedicine allowed an increased screening coverage for DR in diabetic patients. The different types of DR were detected in a timely manner, decreasing waiting times due to the lack of specialists in ophthalmology in the public health system.展开更多
With the upsurge of artificial intelligence(AI)technology in the medical field,its application in ophthalmology has become a cutting-edge research field.Notably,machine learning techniques have shown remarkable achiev...With the upsurge of artificial intelligence(AI)technology in the medical field,its application in ophthalmology has become a cutting-edge research field.Notably,machine learning techniques have shown remarkable achievements in diagnosing,intervening,and predicting ophthalmic diseases.To meet the requirements of clinical research and fit the actual progress of clinical diagnosis and treatment of ophthalmic AI,the Ophthalmic Imaging and Intelligent Medicine Branch and the Intelligent Medicine Committee of Chinese Medicine Education Association organized experts to integrate recent evaluation reports of clinical AI research at home and abroad and formed a guideline on clinical research evaluation of AI in ophthalmology after several rounds of discussion and modification.The main content includes the background and method of developing this guideline,an introduction to international guidelines on the clinical research evaluation of AI,and the evaluation methods of clinical ophthalmic AI models.This guideline introduces general evaluation methods of clinical ophthalmic AI research,evaluation methods of clinical ophthalmic AI models,and commonly-used indices and formulae for clinical ophthalmic AI model evaluation in detail,and amply elaborates the evaluation methods of clinical ophthalmic AI trials.This guideline aims to provide guidance and norms for clinical researchers of ophthalmic AI,promote the development of regularization and standardization,and further improve the overall level of clinical ophthalmic AI research evaluations.展开更多
文摘Objective:To analyze the positive impact of pharmaceutical care in the ophthalmology perioperative period on the rational use of antibiotics.Methods:A total of 115 patients who underwent ophthalmological surgery between March and June 2023 were selected as the control group,receiving routine medication management.Another 115 patients who underwent ophthalmological surgery between July and October 2023 were selected as the observation group,receiving pharmaceutical care.The rationality of medication use,mastery of medication knowledge,medication compliance,and adverse reaction rates were compared between the two groups.Results:The observation group had higher rationality of medication use,higher scores for mastery of medication knowledge,higher medication compliance,and a lower adverse reaction rate compared to the control group(P<0.05).Conclusion:The combination of antibiotic therapy and pharmaceutical care in the ophthalmology perioperative period can improve the rationality of medication use,enhance patients’mastery of medication knowledge,increase their medication compliance,and prevent adverse reactions to antibiotics.
基金Supported by the Hainan Provincial Natural Science Foundation of China(No.825RC898)and Hainan Province Clinical Medical Center.
文摘ChatGPT technology based on large language models(LLM)shows great potential in improving the quality of medical care,assisting clinical decision making and optimizing patient communication.The role of ChatGPT in ophthalmology is still in its infancy.This review aims to explore the application prospect of ChatGPT in ophthalmology.Relevant literature was reviewed and analyzed,and the application prospects of LLM represented by ChatGPT in ophthalmology were summarized,including clinical assisted diagnosis,patient education and communication,history collection and text writing,clinical research,and medical education,etc.At the same time,the challenges and solutions faced by ChatGPT in ophthalmology were pointed out.Its safety,efficacy and ethics remain controversial in practical applications.Therefore,it is necessary to strengthen the supervision and research on its application to ensure safety and effectiveness.In the future,with the development of technology,ChatGPT is expected to play a greater role in ophthalmology and enhance the medical experience.
基金supported by Health and Medical Research Fund,Hong Kong(11220386,12230246).
文摘Background:With the rapid development of artificial intelligence(AI),large language models(LLMs)have emerged as a potent tool for invigorating ophthalmology across clinical,educational,and research fields.Their accuracy and reliability have undergone tested.This bibliometric analysis aims to provide an overview of research on LLMs in ophthalmology from both thematic and geographical perspectives.Methods:All existing and highly cited LLM-related ophthalmology research papers published in English up to 24th April 2025 were sourced from Scopus,PubMed,and Web of Science.The characteristics of these publications,including publication output,authors,journals,countries,institutions,citations,and research domains,were analyzed using Biblioshiny and VOSviewer software.Results:A total of 277 articles from 1,459 authors and 89 journals were included in this study.Although relevant publications began to appear in 2019,there was a significant increase starting from 2023.He M and Shi D are the most prolific authors,while Investigative Ophthalmology&Visual Science stands out as the most prominent journal.Most of the top-publishing countries are high-income economies,with the USA taking the lead,and the University of California is the leading institution.VOSviewer identified 5 clusters in the keyword co-occurrence analysis,indicating that current research focuses on the clinical applications of LLMs,particularly in diagnosis and patient education.Conclusions:While LLMs have demonstrated effectiveness in retaining knowledge,their accuracy in image-based diagnosis remains limited.Therefore,future research should investigate fine-tuning strategies and domain-specific adaptations to close this gap.Although research on the applications of LLMs in ophthalmology is still in its early stages,it holds significant potential for advancing the field.
文摘AIM:To evaluate residents’perceptions and attitudes toward the various aspects of a comprehensive ophthalmic examination,and to determine if these factors correlate with their choices for fellowship and future career plans.METHODS:This is a cross-sectional study.A questionnaire on the perception of the ophthalmic exam was sent via SurveyMonkey to ophthalmology residents throughout Israel.Eighty of them(one-half of all ophthalmology residents in 2019)completed it.The first part related to how they perceived each component of the ophthalmic evaluation.The second part related to their future fellowship plans.The Chi-squared test was used to compare categorical variables and Student’s t-test and One-way ANOVA were used to compare continuous variables.Multivariate logistic regression analysis was applied as needed to detect interactions between variables and to exclude confounder effects.RESULTS:Slit-lamp examination of the anterior and posterior segments ranked as the most likeable aspects,whereas gonioscopy,ocular motility examination and visual acuity assessment were least likeable.Anterior segment and retina subspecialties were the ones most sought after.Forty-nine respondents(61.3%)noted a direct correlation between their preferred parts of comprehensive ophthalmic evaluations and their choice of subspecialty.Perceptions of selected components of those evaluations were significantly associated with responders’intentions to pursue anterior segment,retina,or oculoplastic fellowships(P<0.05).CONCLUSION:Perspectives of residents toward the ophthalmic examination,and most specifically its individual components,play an important role in their choice of subspecialty training.
基金Supported by National Nature Science Foundation of China(No.62306254)SanMing Project of Medicine in Shenzhen(No.SZSM202311012)+1 种基金Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties(No.SZGSP014)Shenzhen Science and Technology Program(No.KCXFZ20211020163813019).
文摘This paper analyzes the current status,technological developments,academic exchange platforms,and future challenges and solutions in the field of intelligent ophthalmology(IO)in China.In terms of technology,significant progress has been made in various areas,including diabetic retinopathy,fundus image analysis,quality assessment of medical artificial intelligence products,clinical research methods,technical evaluation,and industry standards.Researchers continually enhance the safety and standardization of IO technology by formulating a series of clinical application guidelines and standards.The establishment of domestic and international academic exchange platforms provides extensive collaboration opportunities for professionals in various fields,and various academic journals serve as publication platforms for IO research.However,challenges such as technological innovation,data privacy and security,lagging regulations,and talent shortages still pose obstacles to future development.To address these issues,future efforts should focus on strengthening technological research and development,regulatory framework construction,talent cultivation,and increasing patient awareness and acceptance of new technologies.By comprehensively addressing these challenges,IO in China is poised to further lead the industry’s development on a global scale,bringing more innovation and convenience to the field of ophthalmic healthcare.
文摘Our goal as medical educators is for our students to learn what they need to know and competently perform ophthalmic procedures.In addition,the students need to have good communication skills and behave professionally and ethically(1,2).Most medical educators are not taught how to teach but rather learn by role-modeling their mentors.This can be good or bad depending on the mentor!In addition,the amount of knowledge and numbers of surgical procedures is ever increasing and yet,in most countries,the amount of time to train and become competent is not changing.Thus,our goal of creating competent ophthalmologists is ever more challenging.
基金supported by the National Natural Science Foundation of China(82000946)Guangdong Natural Science Funds for Distinguished Young Scholar(2023B1515020100)+1 种基金the Natural Science Foundation of Guangdong Province(2021A1515012238)the Science and Technology Program of Guangzhou(202201020522 and 202201020337).
文摘Background:Research innovations inocular disease screening,diagnosis,and management have been boosted by deep learning(DL)in the last decade.To assess historical research trends and current advances,we conducted an artificial intelligence(AI)-human hybrid analysis of publications on DL in ophthalmology.Methods:All DL-related articles in ophthalmology,which were published between 2012 and 2022 from Web of Science,were included.500 high-impact articles annotated with key research information were used to fine-tune a large language models(LLM)for reviewing medical literature and extracting information.After verifying the LLM's accuracy in extracting diseases and imaging modalities,we analyzed trend of DL in ophthalmology with 2535 articles.Results:Researchers using LLM for literature analysis were 70%(P=0.0001)faster than those who did not,while achieving comparable accuracy(97%versus 98%,P=0.7681).The field of DL in ophthalmology has grown 116%annually,paralleling trends of the broader DL domain.The publications focused mainly on diabetic retinopathy(P=0.0003),glaucoma(P=0.0011),and age-related macular diseases(P=0.0001)using retinal fundus photographs(FP,P=0.0015)and optical coherence tomography(OCT,P=0.0001).DL studies utilizing multimodal images have been growing,with FP and OCT combined being the most frequent.Among the 500 high-impact articles,laboratory studies constituted the majority at 65.3%.Notably,a discernible decline in model accuracy was observed when categorizing by study design,notwithstanding its statistical insignificance.Furthermore,43 publicly available ocular image datasets were summarized.Conclusion:This study has characterized the landscape of publications on DL in ophthalmology,by identifying the trends and breakthroughs among research topics and the fast-growing areas.This study provides an efficient framework for combined AI-human analysis to comprehensively assess the current status and future trends in the field.
文摘Objective:To analyze the status of ophthalmology drug clinical trial institutions in China following the implementation of the registration system and provide a reference for their development.Methods:An analysis was conducted using data from the Drug Clinical Trial Institution Registration Management Information Platform and the Drug Clinical Trial Registration and Information Publicity Platform of the National Medical Products Administration.The search period was up to April 19,2024.Results:As of April 19,2024,314 ophthalmology-specific institutions were registered nationwide,comprising 274 comprehensive medical institutions and 40 specialized ophthalmology institutions,representing a 245%increase compared to the qualification certification phase.There were 965 major researchers in ophthalmology,accounting for 6.3%of the total number of researchers across all registered ophthalmology institutions.These institutions were predominantly located in economically developed areas such as Guangdong,Zhejiang,and Jiangsu Provinces,with the top five provinces and cities comprising 39.8%of the total registered institutions.Beijing had the highest number of major researchers(126),with their distribution positively correlated with the geographic spread of registered institutions.Furthermore,as of April 19,2024,there were 216 clinical drugs related to eye diseases,with the top three provinces conducting 77.8%of national clinical trial projects.The number of institutions was directly proportional to the volume of clinical trials conducted.Conclusion:The implementation of the registration system has facilitated the release of ophthalmic medical resources.However,regional disparities remain in the number of ophthalmology-specific institutions,the availability of major investigators,and the distribution of clinical trial projects.
文摘We present the results from a patient with relapsing optic neuropathy treated within the Stem Cell Ophthalmology Treatment Study （SCOTS）. SCOTS is an Institutional Review Board ap- proved clinical trial and has become the largest ophthalmology stem cell study registered at the National Institutes of Health to date （www.clinicaltrials.gov Identifier NCT 01920867）. SCOTS utilizes autologous bone marrow-derived stem cells （BMSCs） for treatment of retinal and optic nerve diseases. Pre-treatment and post-treatment comprehensive eye exams of a 54 year old female patient were performed both at the Florida Study Center, USA and at The Eye Center of Columbus, USA. As a consequence of a relapsing optic neuritis, the patient＇s previously normal visual acuity decreased to between 20/350 and 20/400 in the right eye and to 20/70 in the left eye. Significant visual field loss developed bilaterally. The patient underwent a right eye vitrectomy with injection of BMSCs into the optic nerve of the right eyeand retrobulbar, subtenon and in- travitreal injection of BMSCs in the left eye. At 15 months after SCOTS treatment, the patient＇s visual acuity had improved to 20/150 in the right eye and 20/20 in the left eye. Bilateral visual fields improved markedly. Both macular thickness and fast retinal nerve fiber layer thickness were maximally improved at 3 and 6 months after SCOTS treatment. The patient also reduced her mycophenylate dose from 1,500 mg per day to 500 mg per day and required no steroid pulse therapy during the 15-month follow up.
文摘This is a review education paper on the current ophthalmology simulators utilized worldwide for undergraduate and postgraduate training. At present, various simulators such as the EYE Exam Simulator （Kyoto Kagaku Co. Ltd., Kyoto, Japan）, Eyesi direct ophthalmoscope simulator （VRmagic, GmbH, Mannheim, Germany）, Eyesi indirect ophthalmoscope simulator （VRmagic, GmbH, Mannheim, Germany） and Eyesi cataract simulators （VRmagic, GmbH, Mannheim, Germany）. These simulators are thought to be able to reduce the initial learning curve for the ophthalmology training but further research will need to be conducted to assess the effectiveness of the simulation-assisted ophthalmology training. Future research will be of great value to assess the medical students and residents responses and performance regarding the usefulness of the individual eye simulator.
基金Supported by unrestricted grants from the National Institutes of Health CORE grant(No.EY001730)Research to Prevent Blindness to the University of Washington Department of Ophthalmology。
文摘AIM:To evaluate the flipped classroom model for teaching horizontal strabismus didactics in an ophthalmology residency program in China as part of a visiting professorship from the United States.METHODS:Residents from an ophthalmology residency program in China were invited to participate in flipped classroom sessions taught by an experienced American ophthalmology faculty in 2018.Residents were instructed to watch a pre-class video lecture prior to the in-class-casebased activity.Content tests(5 Ophthalmic Knowledge Assessment Program style questions)and surveys were administered before and after the classroom sessions(100%response rate).These results were compared to that of an American cohort who were taught the same content.RESULTS:The Chinese cohort of 12 residents preferred the flipped classroom to the traditional classroom at higher rates than the American cohort of 40 residents(92%vs 55%,P=0.04)and felt that all ophthalmology topics would be appropriate for the flipped classroom teaching style(P-values between 0.008 and<0.001).In both Chinese and American cohorts,we found that the exotropia curriculum saw a small but significant improvement in performance following the flipped classroom session(P=0.025 for Chinese residents;P=0.001 for US residents),whereas scores in both groups for the esotropia course did not significantly improve.CONCLUSION:This is the first study to evaluate the flipped classroom model implemented by a visiting ophthalmology professor in a global outreach setting.The flipped classroom sessions are viewed favorably by the Chinese residents relative to the US cohort with a modest impact on knowledge.Decreased in-person interpreter requirement and increased student engagement make this model valuable in cross-cultural visiting professorship settings.Finally,the flipped classroom may lend itself well to a virtual format to prevent the transmission of COVID-19,although such a format requires further study.
文摘AIM: To estimate the prevalence of diabetic retinopathy(DR) in a diabetic population of the public health system. METHODS: This non-experimental, descriptive and crosssectional study, with no direct control over the variables analysed, was carried out by the Telemedicine Unit of the University of Concepción(TELMED) and the Family Health Centers(CESFAM) of the Health Service Concepción, Chile, among a population of 7382 diabetic patients of the public health system, from October 2014 to June 2015. Two digital images for each patient’s eyes were obtained and uploaded to the TELMED tele-ophthalmology platform. The images were remotely evaluated by a retina expert ophthalmologist for diagnosis. Treatment and a referral(if required) were recommended, and an individualised report for each patient was sent to the place of origin.RESULTS: The prevalence of DR in this study was 14.9%. Of these, 48.7% had mild non-proliferative DR(NPDR), 30.8% moderate NPDR, 15.9% severe NPDR, and 4.6% proliferative DR. Of the patients with DR, 17.8% were referred for fluorescein angiography, 4.3% for panretinal photocoagulation, 1.2% for vitrectomy, and 0.4% for cataract surgery.CONCLUSION: The use of telemedicine allowed an increased screening coverage for DR in diabetic patients. The different types of DR were detected in a timely manner, decreasing waiting times due to the lack of specialists in ophthalmology in the public health system.
基金Supported by National Natural Science Foundation of China(No.61906066)the San Ming Project of Medicine in Shenzhen(No.SZSM202011015)Shenzhen Science and Technology Program(No.KCXFZ20211020163813019).
文摘With the upsurge of artificial intelligence(AI)technology in the medical field,its application in ophthalmology has become a cutting-edge research field.Notably,machine learning techniques have shown remarkable achievements in diagnosing,intervening,and predicting ophthalmic diseases.To meet the requirements of clinical research and fit the actual progress of clinical diagnosis and treatment of ophthalmic AI,the Ophthalmic Imaging and Intelligent Medicine Branch and the Intelligent Medicine Committee of Chinese Medicine Education Association organized experts to integrate recent evaluation reports of clinical AI research at home and abroad and formed a guideline on clinical research evaluation of AI in ophthalmology after several rounds of discussion and modification.The main content includes the background and method of developing this guideline,an introduction to international guidelines on the clinical research evaluation of AI,and the evaluation methods of clinical ophthalmic AI models.This guideline introduces general evaluation methods of clinical ophthalmic AI research,evaluation methods of clinical ophthalmic AI models,and commonly-used indices and formulae for clinical ophthalmic AI model evaluation in detail,and amply elaborates the evaluation methods of clinical ophthalmic AI trials.This guideline aims to provide guidance and norms for clinical researchers of ophthalmic AI,promote the development of regularization and standardization,and further improve the overall level of clinical ophthalmic AI research evaluations.
