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

ConditionsVision-Threatening Retinal Lesions Urgent Referral Retinal Findings Retinal Detachment Pre-retinal Hemorrhage Subretinal Hemorrhage Retinal Neovascularization

Trial statusNot yet recruiting

Trial phaseNot applicable

Trial typeInterventional

Biological sexAll

Age18+

SponsorXiamen Ophthalmology Center Affiliated to Xiamen University

About this trial

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.

Eligibility criteria

Qualifiers

Licensed ophthalmologists

Willing to participate as readers

Completion of study training

Disqualifiers

Retinal specialists involved in establishing gold-standard labels

Prior access to gold-standard labels

Incomplete study participation

Trial design

Treatments tested in this trial

AI-Assisted UWF Lesion-Based Triage System
Unassisted Interpretation

Treatment groups

8 Participants

are divided into 2 treatment groups

Locations

This trial has no locations

Sponsors and collaborators

Xiamen Ophthalmology Center Affiliated to Xiamen University

Lead sponsor

Source ClinicalTrials.gov