NCT05981950

Real-world of AI in Diagnosing Retinal Diseases

Real-world Application of Using Artificial Intelligence in Diagnosing Retinal Diseases

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 100,000 (estimated)
• Sponsor: Beijing Tongren Hospital · Academic / Other
• Sex: All
• Age: 1 Year – 100 Years
• Healthy volunteers: —

Summary

The objective of this study is to apply an artificial intelligence algorithm to diagnose multi-retinal diseases in real-world settings. The effectiveness and accuracy of this algorithm are evaluated by sensitivity, specificity, positive predictive value, negative predictive value, and area under curve.

Detailed description

The objective of this study is to apply an artificial intelligence algorithm to diagnose referral diabetes retinopathy, referral age-related macular degeneration, referral possible glaucoma, pathological myopia, retinal vein occlusion, macular hole, macular epiretinal membrane, hypertensive retinopathy, myelinated fibers, retinitis pigmentosa and other retinal lesions from fundus photography. tic 45-degree fundus cameras, trained operators took binocular fundus photography on participants. Operators were then asked to identify gradable images and unload for algorithm diagnosis. The effectiveness and accuracy of this algorithm are evaluated by sensitivity, specificity, positive predictive value, negative predictive value, area under curve, and F1 score.

Conditions

• Artificial Intelligence
• Retinal Diseases

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	artificial intelligence algorithm	Retinal diseases diagnosed by artificial intelligence algorithm

Timeline

• Start date: 2023-08-01
• Primary completion: 2028-08-01
• Completion: 2029-08-01
• First posted: 2023-08-08
• Last updated: 2023-08-08

Locations

1 site across 1 country: China