Artificial Intelligence-Based Medical Devices for Diabetic Retinopathy Screening in the European Union

CE-certified AI systems for DR detection represent a diverse and rapidly evolving landscape. While substantial progress has been made in regulatory classification and validation efforts, evidence remains heterogeneous, particularly for STDR detection and real-world implementation. Future research should prioritize consistent reporting standards, evaluation of multimodal approaches, and studies addressing real-world effectiveness to support safe and equitable deployment under the evolving EU regulatory framework.

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Publication Details

Journal
Ophthalmology and Therapy
Published
2026-01-30
DOI
https://doi.org/10.1007/s40123-026-01322-3
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence-Based Medical Devices for Diabetic Retinopathy Screening in the European Union

Kai Jin, Andrzej Grzybowski
Ophthalmology and Therapy
Retinal Imaging and Analysis
article

Artificial Intelligence-Based Medical Devices for Diabetic Retinopathy Screening in the European Union

Kai Jin, Andrzej Grzybowski
article en

Abstract

CE-certified AI systems for DR detection represent a diverse and rapidly evolving landscape. While substantial progress has been made in regulatory classification and validation efforts, evidence remains heterogeneous, particularly for STDR detection and real-world implementation. Future research should prioritize consistent reporting standards, evaluation of multimodal approaches, and studies addressing real-world effectiveness to support safe and equitable deployment under the evolving EU regulatory framework.

Ophthalmology and TherapyVol. 15(2)
Zhejiang Technical Institute of Economics (CN), Foundation for Cardiac Surgery (BE), Second Affiliated Hospital of Zhejiang University (CN), University of Warmia and Mazury in Olsztyn (PL)
Openalex Percentile: Top 72%
Retinal Imaging and Analysis
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