Artificial Intelligence for Detecting Retinal Diseases

Status Completed

Clinical Trial Summary

The objective of this study is to apply an artificial intelligence algorithm to diagnose multi retinal diseases from fundus photography. The effectiveness and accuracy of this algorithm was evaluated by sensitivity, specificity, positive predictive value, negative predictive value, and area under curve.

Clinical Trial 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. The effectiveness and accuracy of this algorithm was evaluated by sensitivity, specificity, positive predictive value, negative predictive value, area under curve, and F1 score. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT04678375
Study type	Observational
Source	Beijing Tongren Hospital
Contact
Status	Completed
Phase
Start date	June 1, 2018
Completion date	October 1, 2020

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