[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"ai-agent\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:ai-agent":30},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,53],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":33,"overallStatus":40,"whyStopped":4,"lastUpdateSubmitDate":41,"lastUpdatePostDateStruct":42,"startDateStruct":45,"completionDateStruct":47,"leadSponsor":49,"locationsCount":52},"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":21,"type":22},300,"ESTIMATED","INTERVENTIONAL",[25],"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.",[28,29,30,31,32],"Ophthalmology","Large Language Models","AI Agent","Eye Disease","Retinal Disease",[34,35,36,37,38,39],"medical AI agent","large language model","ophthalmology","tool integration","clinical decision support","real world study","NOT_YET_RECRUITING","2026-02-19",{"date":43,"type":44},"2026-02-23","ACTUAL",{"date":46,"type":22},"2026-03-01",{"date":48,"type":22},"2026-12-31",{"name":50,"class":51},"The Hong Kong Polytechnic University","OTHER",1,{"id":54,"slug":55,"hasResults":11,"nctId":56,"briefTitle":57,"officialTitle":58,"acronym":4,"eligibilityCriteria":59,"healthyVolunteers":16,"sex":17,"minAge":4,"maxAge":4,"enrollmentInfo":60,"targetDuration":4,"studyType":62,"phases":4,"briefSummary":63,"conditions":64,"keywords":65,"overallStatus":67,"whyStopped":4,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":77},"100576915","ai-agent-for-automated-diagnosis-and-predicting-using-ehr-and-multimodal-data-100576915","NCT06791499","AI-Agent for Automated Diagnosis and Predicting Using EHR and Multimodal Data","AI-Agent Assisted Automation for Diagnosing and Predicting Patients Using Electronic Health Records and Multimodal Data","Inclusion Criteria:\n\n1. Participants must have comprehensive electronic health records (EHR) available, including demographic information, medical history, and laboratory results.\n2. Participants must have available multimodal imaging data (e.g., X-rays, CT scans, MRIs, ultrasounds) relevant to their health condition.\n3. Participants must have a confirmed diagnosis of one or more diseases or health conditions based on clinical records or imaging data.\n4. Patients must provide consent for the use of their historical health data for research purposes.\n\nExclusion Criteria:\n\n1. Participants with ambiguous or unverifiable diagnoses that cannot be accurately categorized.\n2. Duplicate or redundant patient data (e.g., repeated records of the same patient without clear differentiation).",{"count":61,"type":22},2000000,"OBSERVATIONAL","The goal of this clinical study is to evaluate the effectiveness of an AI agent in diagnosing and predicting diseases using electronic health records (EHR) and multimodal imaging data. The AI agent leverages advanced machine learning algorithms to process and analyze diverse health data sources, aiming to assist healthcare providers in making more accurate diagnoses and predictions.",[30],[66],"AI agent","RECRUITING","2025-04-16",{"date":70,"type":44},"2025-04-17",{"date":72,"type":44},"2023-07-01",{"date":74,"type":22},"2025-07",{"name":76,"class":51},"The Eye Hospital of Wenzhou Medical University",6]