[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100623809":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":29,"locations":38,"responsibleParty":53,"collaborators":18,"id":55,"slug":56,"hasResults":57,"nctId":58,"briefTitle":59,"officialTitle":60,"acronym":18,"eligibilityCriteria":61,"healthyVolunteers":62,"sex":63,"minAge":64,"maxAge":65,"enrollmentInfo":66,"targetDuration":18,"studyType":69,"phases":70,"briefSummary":72,"conditions":73,"keywords":79,"overallStatus":86,"whyStopped":18,"lastUpdateSubmitDate":87,"lastUpdatePostDateStruct":88,"startDateStruct":91,"completionDateStruct":93,"leadSponsor":95,"locationsCount":96},{"fullName":5,"class":6},"The Hong Kong Polytechnic University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"AI-assisted care arm","EXPERIMENTAL","Clinicians perform report generation, diagnosis, and treatment planning with support from the EyeAgent system.",[13],"Device: EyeAgent AI system",{"label":15,"type":16,"description":17,"interventionNames":18},"Standard care arm","NO_INTERVENTION","Clinicians provide routine ophthalmic care without support from the EyeAgent system.",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"DEVICE","EyeAgent AI system","EyeAgent is a multimodal AI agent assistant for ophthalmology that integrates imaging, electronic health records, and curated clinical knowledge. In this arm, EyeAgent supports clinicians in clinical consultation, including report generation, diagnostic interpretation, and treatment planning.",[9],[26],{"name":27,"affiliation":5,"role":28},"Mingguang He","PRINCIPAL_INVESTIGATOR",[30,35],{"name":31,"role":32,"phone":33,"phoneExt":18,"email":34},"Xiaolan Chen","CONTACT","+85295822773","yuewy.wu@connect.polyu.hk",{"name":36,"role":32,"phone":18,"phoneExt":18,"email":37},"Danli Shi, Dr","danli.shi@polyu.edu.hk",[39],{"facility":5,"status":18,"city":40,"state":18,"zip":18,"country":41,"countryCode":42,"cosmosGeoPoint":43,"geoPoint":48,"contacts":49},"Hong Kong","China","CN",{"type":44,"coordinates":45},"Point",[46,47],114.17469,22.27832,{"lat":47,"lon":46},[50],{"name":31,"role":32,"phone":51,"phoneExt":18,"email":52},"085295822773","xiaolan-xl.chen@connect.polyu.hk",{"type":54,"investigatorFullName":18,"investigatorTitle":18,"investigatorAffiliation":18,"oldNameTitle":18,"oldOrganization":18},"SPONSOR","100623809","a-multimodal-ai-agent-for-ophthalmic-clinical-decision-support-100623809",false,"NCT07401459","A Multimodal AI Agent for Ophthalmic Clinical Decision Support","Multicenter Randomized Controlled Trial of a Multimodal AI Agent for Ophthalmology Clinical Decision Support","Inclusion Criteria:\n\n1. Outpatient participants aged 6 to 75 years.\n2. Participants who undergo ophthalmic examinations for medical purposes during the study period.\n3. Participants who can produce clear ophthalmic images in both eyes.\n4. Agree to participate in this study with written informed consent:\n\n   1. Participants aged 18 years or older provide their own consent.\n   2. Participants aged 6-17 years require consent from a parent or legal guardian.\n\nExclusion Criteria:\n\n1. Participants who are reluctant to participate in this study.\n2. Participants presenting with acute or emergency ocular conditions requiring immediate intervention.\n3. Participants with poor quality of ophthalmic images, including blurriness, artifacts, underexposure, or overexposure.\n4. Other unsuitable reasons determined by the evaluators.",true,"ALL","6 Years","75 Years",{"count":67,"type":68},300,"ESTIMATED","INTERVENTIONAL",[71],"NA","This study is a multicenter randomized controlled trial evaluating the effectiveness and safety of EyeAgent, a multimodal artificial intelligence (AI) agent designed to assist ophthalmologists in clinical decision-making. Participants will be recruited from ophthalmology clinics and hospitals in Hong Kong and mainland China. The AI agent acts as a digital co-pilot, analyzing patient images and clinical history to provide diagnostic and management recommendations. The trial aims to determine whether the use of the AI agent improves diagnostic accuracy, treatment decision-making performance, report generation, workflow efficiency, and user satisfaction compared to standard clinical practice.",[74,75,76,77,78],"Ophthalmology","Large Language Models","AI Agent","Eye Disease","Retinal Disease",[80,81,82,83,84,85],"medical AI agent","large language model","ophthalmology","tool integration","clinical decision support","real world study","NOT_YET_RECRUITING","2026-02-19",{"date":89,"type":90},"2026-02-23","ACTUAL",{"date":92,"type":68},"2026-03-01",{"date":94,"type":68},"2026-12-31",{"name":5,"class":6},1]