AI-Driven Diagnostics vs. Clinician Assessment in Diabetic Retinopathy: A Comparative Analysis at a Secondary Eye Care Centre

AI tools show high sensitivity and substantial agreement with ophthalmologists in diagnosing DR and DME, indicating their potential to enhance diagnostic accuracy and efficiency in retinal health screening.

Authors

Institutions

Publication Details

Journal
Ophthalmic Epidemiology
Published
2026-03-08
DOI
https://doi.org/10.1080/09286586.2026.2641114
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Driven Diagnostics vs. Clinician Assessment in Diabetic Retinopathy: A Comparative Analysis at a Secondary Eye Care Centre

Mithunan Ravindran, Nikhil Gopalakrishnan, Harinikrishna Balakrishnan, Ram S. Ravindran et al.
Ophthalmic Epidemiology
Retinal Imaging and Analysis
article

AI-Driven Diagnostics vs. Clinician Assessment in Diabetic Retinopathy: A Comparative Analysis at a Secondary Eye Care Centre

Mithunan Ravindran, Nikhil Gopalakrishnan, Harinikrishna Balakrishnan, Ram S. Ravindran, Kim Ramasamy, Syed Mohideen Abdul Khadar, Aarif Khan, Rengappa Ramakrishnan, Mohammed Sithiq Uduman
article en

Abstract

AI tools show high sensitivity and substantial agreement with ophthalmologists in diagnosing DR and DME, indicating their potential to enhance diagnostic accuracy and efficiency in retinal health screening.

Ophthalmic Epidemiology
Aravind Eye Hospital (IN)
Openalex Percentile: Top 30%
Retinal Imaging and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.