Real-world of AI in Diagnosing Retinal Diseases

Phase

N/A

Condition

Retina

Treatment

artificial intelligence algorithm

Clinical Study ID

NCT05981950

Real-world RAIDS

Ages 1-100
All Genders

Study 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.

Eligibility Criteria

Inclusion

Inclusion Criteria:

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

Exclusion

Exclusion Criteria:

insufficient information for diagnosis

Study Design

artificial intelligence algorithm

August 01, 2023

August 01, 2029

Study 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.

Connect with a study center

Wen-Bin Wei
Beijing, Beijing 100730
China
Active - Recruiting

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