[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"urgent-referral-retinal-findings\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:urgent-referral-retinal-findings":51},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":4,"hasResults":10,"nctId":11,"briefTitle":12,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":33,"overallStatus":40,"whyStopped":4,"lastUpdateSubmitDate":41,"lastUpdatePostDateStruct":42,"startDateStruct":45,"completionDateStruct":46,"leadSponsor":48,"locationsCount":4},"100642544",false,"NCT07643129","Artificial Intelligence-Assisted Lesion-Based Urgent Referral Triage of Ultra-Widefield Retinal Images","Clinical Utility of an Artificial Intelligence-Assisted Lesion-Based Urgent Referral Triage System for Ultra-Widefield Retinal Images: A Prospective Multi-Reader Multi-Case Randomized Reader Study","ALERT-UWF","Inclusion Criteria:\n\n* Licensed ophthalmologists\n* Willing to participate as readers\n* Completion of study training\n\nExclusion Criteria:\n\n* Retinal specialists involved in establishing gold-standard labels\n* Prior access to gold-standard labels\n* Incomplete study participation",true,"ALL","18 Years",{"count":20,"type":21},8,"ESTIMATED","INTERVENTIONAL",[24],"NA","his study evaluates the clinical utility of an artificial intelligence (AI)-assisted lesion-based urgent referral triage system for ultra-widefield (UWF) retinal images.\n\nUnlike disease-classification systems, the AI system identifies predefined vision-threatening retinal findings and generates lesion-level urgent referral recommendations. Participating ophthalmologists will evaluate UWF retinal images under randomized AI-assisted and unassisted conditions.\n\nThe primary objective is to determine whether lesion-based AI assistance improves urgent referral triage performance compared with unaided image interpretation.",[27,28,29,30,31,32],"Vision-Threatening Retinal Lesions","Urgent Referral Retinal Findings","Retinal Detachment","Pre-retinal Hemorrhage","Subretinal Hemorrhage","Retinal Neovascularization",[34,35,36,37,38,39],"Artificial Intelligence","Urgent Referral","Lesion-Based Triage","Ultra-Widefield Imaging","Clinical Decision Support","Multi-Reader Multi-Case Study","NOT_YET_RECRUITING","2026-06-10",{"date":43,"type":44},"2026-06-15","ACTUAL",{"date":43,"type":21},{"date":47,"type":21},"2026-06-30",{"name":49,"class":50},"Xiamen Ophthalmology Center Affiliated to Xiamen University","OTHER",""]