[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100642544":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":25,"centralContacts":28,"locations":25,"responsibleParty":34,"collaborators":25,"id":38,"slug":25,"hasResults":39,"nctId":40,"briefTitle":41,"officialTitle":42,"acronym":43,"eligibilityCriteria":44,"healthyVolunteers":45,"sex":46,"minAge":47,"maxAge":25,"enrollmentInfo":48,"targetDuration":25,"studyType":51,"phases":52,"briefSummary":54,"conditions":55,"keywords":62,"overallStatus":69,"whyStopped":25,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":74,"completionDateStruct":75,"leadSponsor":77,"locationsCount":25},{"fullName":5,"class":6},"Xiamen Ophthalmology Center Affiliated to Xiamen University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"AI-Assisted Interpretation","EXPERIMENTAL","Readers interpret UWF retinal images with lesion-level AI findings and urgent referral recommendations.",[13],"Diagnostic Test: AI-Assisted UWF Lesion-Based Triage System",{"label":15,"type":16,"description":17,"interventionNames":18},"Unassisted Interpretation","ACTIVE_COMPARATOR","Readers interpret UWF retinal images without AI assistance.",[19],"Diagnostic Test: Unassisted Interpretation",[21,26],{"type":22,"name":23,"description":11,"armGroupLabels":24,"otherNames":25},"DIAGNOSTIC_TEST","AI-Assisted UWF Lesion-Based Triage System",[9],null,{"type":22,"name":15,"description":17,"armGroupLabels":27,"otherNames":25},[15],[29],{"name":30,"role":31,"phone":32,"phoneExt":25,"email":33},"Xiuju Chen, md","CONTACT","+8618060955810","joyychen@aliyun.com",{"type":35,"investigatorFullName":36,"investigatorTitle":37,"investigatorAffiliation":5,"oldNameTitle":25,"oldOrganization":25},"PRINCIPAL_INVESTIGATOR","XiujuChen","Investigator","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":49,"type":50},8,"ESTIMATED","INTERVENTIONAL",[53],"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.",[56,57,58,59,60,61],"Vision-Threatening Retinal Lesions","Urgent Referral Retinal Findings","Retinal Detachment","Pre-retinal Hemorrhage","Subretinal Hemorrhage","Retinal Neovascularization",[63,64,65,66,67,68],"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":72,"type":73},"2026-06-15","ACTUAL",{"date":72,"type":50},{"date":76,"type":50},"2026-06-30",{"name":5,"class":6}]