Clinical Trial

Artificial Intelligence-Assisted Lesion-Based Urgent Referral Triage of Ultra-Widefield Retinal Images

Study acronym: ALERT-UWF
Not Yet Recruiting
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Record status
This record was last updated June 15, 2026 (before its estimated June 25, 2026 completion). Its status may not reflect the trial's current state.
Summary
his study evaluates the clinical utility of an artificial intelligence (AI)-assisted lesion-based urgent referral triage system for ultra-widefield (UWF) retinal images. Unlike 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. The primary objective is to determine whether lesion-based AI assistance improves urgent referral triage performance compared with unaided image interpretation.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2026-06-07.
Trial Details
NCT Number NCT07643129
Lead Sponsor Xiamen Ophthalmology Center Affiliated to Xiamen University
Conditions Vision-Threatening Retinal Lesions, Urgent Referral Retinal Findings, Retinal Detachment, Pre-retinal Hemorrhage, Subretinal Hemorrhage, Retinal Neovascularization
Enrollment 8 participants
Start Date 2026-06-15
Primary Completion 2026-06-25 (estimated)
Study Completion 2026-06-30 (estimated)
Updated on ClinicalTrials.gov 2026-06-15