[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"vision-threatening-retinal-lesions\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:vision-threatening-retinal-lesions":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":34,"overallStatus":41,"whyStopped":4,"lastUpdateSubmitDate":42,"lastUpdatePostDateStruct":43,"startDateStruct":46,"completionDateStruct":47,"leadSponsor":49,"locationsCount":4},"100642544","artificial-intelligence-assisted-lesion-based-urgent-referral-triage-of-ultra-widefield-retinal-images-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":21,"type":22},8,"ESTIMATED","INTERVENTIONAL",[25],"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.",[28,29,30,31,32,33],"Vision-Threatening Retinal Lesions","Urgent Referral Retinal Findings","Retinal Detachment","Pre-retinal Hemorrhage","Subretinal Hemorrhage","Retinal Neovascularization",[35,36,37,38,39,40],"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":44,"type":45},"2026-06-15","ACTUAL",{"date":44,"type":22},{"date":48,"type":22},"2026-06-30",{"name":50,"class":51},"Xiamen Ophthalmology Center Affiliated to Xiamen University","OTHER"]