Performance of a Deep Learning Diabetic Retinopathy Algorithm in India.

ABSTRACT:

Importance

While prospective studies have investigated the accuracy of artificial intelligence (AI) for detection of diabetic retinopathy (DR) and diabetic macular edema (DME), to date, little published data exist on the clinical performance of these algorithms.

Objective

To evaluate the clinical performance of an automated retinal disease assessment (ARDA) algorithm in the postdeployment setting at Aravind Eye Hospital in India.

Design, setting, and participants

This cross-sectional analysis involved an approximate 1% sample of fundus photographs from patients screened using ARDA. Images were graded via adjudication by US ophthalmologists for DR and DME, and ARDA's output was compared against the adjudicated grades at 45 sites in Southern India. Patients were randoml

SUBMITTER: Brant A 

PROVIDER: S-EPMC11923701 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature