[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100574417":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":18,"centralContacts":24,"locations":30,"responsibleParty":147,"collaborators":18,"id":151,"slug":152,"hasResults":153,"nctId":154,"briefTitle":155,"officialTitle":155,"acronym":21,"eligibilityCriteria":156,"healthyVolunteers":157,"sex":158,"minAge":159,"maxAge":160,"enrollmentInfo":161,"targetDuration":18,"studyType":164,"phases":165,"briefSummary":167,"conditions":168,"keywords":170,"overallStatus":174,"whyStopped":18,"lastUpdateSubmitDate":175,"lastUpdatePostDateStruct":176,"startDateStruct":179,"completionDateStruct":181,"leadSponsor":183,"locationsCount":184},{"fullName":5,"class":6},"Tsinghua University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Interventional group","EXPERIMENTAL","Attend EyeTeacher lecture before taking the regular ophthalmology lecture in medical school.",[13],"Other: EyeTeacher",{"label":15,"type":16,"description":17,"interventionNames":18},"Control group","NO_INTERVENTION","Attend regular ophthalmology lectures in medical school.",null,[20],{"type":6,"name":21,"description":22,"armGroupLabels":23,"otherNames":18},"EyeTeacher","Participants randomized to the intervention group will receive access to the EyeTeacher system, along with their username, password, and a user manual, one week before the start of the course. They will follow instructions on the website and complete a quiz before and after each course. After completing the EyeTeacher curriculum, they will take the first examination (Examination 1) and complete a set of questionnaires. A classroom will be provided for study purposes, but no restrictions will be imposed on the study location. Following the EyeTeacher section, participants will attend the ophthalmology course in the regular training program, with support from the EyeTeacher system. They will be evaluated according to the ophthalmology posting's evaluation criteria (Examination 2).",[9],[25],{"name":26,"role":27,"phone":28,"phoneExt":18,"email":29},"Yueyuan Xu","CONTACT","+86 186 1065 2799","xuyy17@mails.tsinghua.edu.cn",[31,49,66,83,100,116,131],{"facility":32,"status":18,"city":33,"state":34,"zip":35,"country":36,"countryCode":37,"cosmosGeoPoint":38,"geoPoint":43,"contacts":44},"University of Melbourne","Melbourne","Victoria","3010","Australia","AU",{"type":39,"coordinates":40},"Point",[41,42],144.96332,-37.814,{"lat":42,"lon":41},[45],{"name":46,"role":27,"phone":47,"phoneExt":18,"email":48},"Kate Reid","+61 3 9035 7831","kireid@unimelb.edu.au",{"facility":50,"status":18,"city":51,"state":52,"zip":53,"country":54,"countryCode":55,"cosmosGeoPoint":56,"geoPoint":60,"contacts":61},"Peking Union Medical College Hospital","Beijing","Beijing Municipality","430022","China","CN",{"type":39,"coordinates":57},[58,59],116.39723,39.9075,{"lat":59,"lon":58},[62],{"name":63,"role":27,"phone":64,"phoneExt":18,"email":65},"ZhiKun Yang","+86 010-69156351","yangzhikun@pumch.cn",{"facility":67,"status":18,"city":68,"state":69,"zip":70,"country":71,"countryCode":72,"cosmosGeoPoint":73,"geoPoint":77,"contacts":78},"University of Ghana","Accra","Greater Accra Region","P.O. Box LG 586","Ghana","GH",{"type":39,"coordinates":74},[75,76],-0.1969,5.55602,{"lat":76,"lon":75},[79],{"name":80,"role":27,"phone":81,"phoneExt":18,"email":82},"Kwesi Amissah-Arthur","+233-(0)302-213820","pad@ug.edu.gh",{"facility":84,"status":18,"city":85,"state":86,"zip":87,"country":88,"countryCode":89,"cosmosGeoPoint":90,"geoPoint":94,"contacts":95},"Sankara Nethralaya","Chennai","Tamil Nadu","600 006","India","IN",{"type":39,"coordinates":91},[92,93],80.27847,13.08784,{"lat":93,"lon":92},[96],{"name":97,"role":27,"phone":98,"phoneExt":18,"email":99},"Chetan Rao","+91 44 4227 1500","mrf@snmail.org",{"facility":101,"status":18,"city":102,"state":18,"zip":103,"country":104,"countryCode":105,"cosmosGeoPoint":106,"geoPoint":110,"contacts":111},"University of Malaya","Kuala Lumpur","50603","Malaysia","MY",{"type":39,"coordinates":107},[108,109],101.68653,3.1412,{"lat":109,"lon":108},[112],{"name":113,"role":27,"phone":114,"phoneExt":18,"email":115},"Lee-Ling Lim","+603-7949 2050","limleeling@um.edu.my",{"facility":117,"status":18,"city":118,"state":18,"zip":119,"country":118,"countryCode":120,"cosmosGeoPoint":121,"geoPoint":125,"contacts":126},"Duke-NUS medical school","Singapore","169857","SG",{"type":39,"coordinates":122},[123,124],103.85007,1.28967,{"lat":124,"lon":123},[127],{"name":128,"role":27,"phone":129,"phoneExt":18,"email":130},"Scott Compton","+65 6516 7666","enquiries@duke-nus.edu.sg",{"facility":132,"status":18,"city":133,"state":18,"zip":134,"country":135,"countryCode":136,"cosmosGeoPoint":137,"geoPoint":141,"contacts":142},"Moorfields Eye Hospital","London","EC1V 2PD","United Kingdom","UK",{"type":39,"coordinates":138},[139,140],-0.12574,51.50853,{"lat":140,"lon":139},[143],{"name":144,"role":27,"phone":145,"phoneExt":18,"email":146},"Mathew Rashmi","+44 0207 253 3411","r.mathew@ucl.ac.uk",{"type":148,"investigatorFullName":149,"investigatorTitle":150,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"PRINCIPAL_INVESTIGATOR","Tien Yin Wong","Professor","100574417","study-on-the-medical-education-capability-of-the-eyeteacher-artificial-intelligence-platform-100574417",false,"NCT06759012","Study on the Medical Education Capability of the EyeTeacher Artificial Intelligence Platform","Inclusion Criteria:\n\n* Clinical medical students who have not taken ophthalmology courses\n* Age 21-40\n* Gender not restricted\n* Sign the informed consent form\n\nExclusion Criteria:\n\n* Refusal of the research protocol.\n* Participants unwilling or unable to understand and complete the questionnaire.",true,"ALL","21 Years","40 Years",{"count":162,"type":163},252,"ESTIMATED","INTERVENTIONAL",[166],"NA","With the rise of generative artificial intelligence and large language models, medical education is undergoing a significant transformation. Numerous studies have highlighted the limitations of traditional educational knowledge acquisition and the potential impact of artificial intelligence on medical education, resident training, and continuing education for clinical practitioners. However, there is a lack of real-world experiments on the effectiveness of AI-integrated education.\n\nArtificial intelligence can provide extensive educational resources and tools that are not limited by geographical location or language, thereby lowering the barrier to accessing high-quality medical education and promoting educational equity. Nevertheless, the performance of AI models trained by different medical institutions or healthcare systems may vary.\n\nTo offer a more universal, accessible, high-quality, and interconnected educational journey. We have developed a virtual ophthalmology teacher, which developed based on foundational model and large language models. This model, named EyeTeacher provide comprehensive theoretical knowledge and clinical skills enhancement for untrained medical students. To verify the effectiveness of our EyeTeacher across different national ophthalmology education systems and languages, we plan to implement a randomized controlled trial. This trial will assess the clinical capabilities of all participants and explore the advantages and disadvantages of the system compared to traditional teaching methods.",[169],"Medical Education",[171,172,173],"Medical education","Multimodality AI","Generative AI","NOT_YET_RECRUITING","2024-12-29",{"date":177,"type":178},"2025-01-06","ACTUAL",{"date":180,"type":163},"2025-01-05",{"date":182,"type":163},"2025-12-30",{"name":5,"class":6},7]