Real-world of AI in Diagnosing Retinal Diseases

Capital Medical University

Status: Enrolling

Conditions: Artificial Intelligence; Retinal Diseases

Treatments: Diagnostic Test: artificial intelligence algorithm

Study type: Observational

Funder types: Other

Identifiers

NCT05981950

Real-world RAIDS

Details and patient eligibility

About

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.

Full 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.

Enrollment: 100,000 estimated patients

Sex: All

Ages: 1 to 100 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• fundus photography around 45° field which covers optic disc and macula
• complete identification information

Exclusion criteria

• insufficient information for diagnosis

Trial design

100,000 participants in 1 patient group

Retinal diseases diagnosed by artificial intelligence algorithm

Description:

An artificial intelligence algorithm was applied 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.

Treatment:

Diagnostic Test: artificial intelligence algorithm