Real world practice of Artificial intelligence Diagnostic System for Diabetic Retinopathy in Taiwan

Verisee demonstrated high accuracy in detecting RDR but exhibited reduced performance in older patients. It had a higher referral rate than ophthalmologists yet missed certain conditions such as glaucoma. Despite effectiveness in DR screening, further refinement is required to support broader ophthalmic disease detection.

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Publication Details

Journal
Retina
Published
2026-03-03
DOI
https://doi.org/10.1097/iae.0000000000004826
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Real world practice of Artificial intelligence Diagnostic System for Diabetic Retinopathy in Taiwan

Pai-Hui Peng, Ching-Chun Lin, Cheng-Kuo Cheng, Sheng-Fu Cheng
Retina
Retinal Imaging and Analysis
article

Real world practice of Artificial intelligence Diagnostic System for Diabetic Retinopathy in Taiwan

Pai-Hui Peng, Ching-Chun Lin, Cheng-Kuo Cheng, Sheng-Fu Cheng
article en

Abstract

Verisee demonstrated high accuracy in detecting RDR but exhibited reduced performance in older patients. It had a higher referral rate than ophthalmologists yet missed certain conditions such as glaucoma. Despite effectiveness in DR screening, further refinement is required to support broader ophthalmic disease detection.

Retina
Fu Jen Catholic University (TW), Memorial Hospital (US)
Openalex Percentile: Top 25%
Retinal Imaging and Analysis
DOISourceOpenAlex
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Real world practice of Artificial intelligence Diagnostic System for Diabetic Retinopathy in Taiwan — Pai-Hui Peng, Ching-Chun Lin, et al. · Retina (2026) | TGRS Research Map | TGRS