Global approval and certification of ophthalmic AI devices: A comparative regulatory perspective.

Artificial intelligence (AI) tools are rapidly reshaping ophthalmology by improving screening and diagnosis for diabetic retinopathy, age-related macular degeneration, glaucoma, and increasingly retina-based systemic risk assessment. This narrative review provides a comparative assessment of regulatory pathways governing ophthalmic AI and software as a medical device (SaMD) across the United States, European Union, United Kingdom, Australia, China, Japan, Canada, India, and selected emerging jurisdictions. We used a structured search of public regulator databases, guidance documents, manufacturer disclosures, and peer-reviewed literature to assemble a representative sample of marketed or authorized devices through August 2025; the device inventory is illustrative rather than exhaustive. Key differences persist in device classification, evidence expectations, change management for adaptive algorithms, and post-market oversight. Examples such as LumineticsCore, EyeArt, DrNoon for CVD, CLAiR, and EyeWisdom illustrate how risk-based approaches vary across jurisdictions. These inconsistencies can delay multi-region deployment and complicate implementation, supporting the need for lifecycle-focused and internationally aligned standards for safe, transparent, and equitable use of ophthalmic AI.

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Publication Details

Journal
PubMed
Published
2026-05-08
DOI
https://doi.org/10.1016/j.apjo.2026.100328
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Global approval and certification of ophthalmic AI devices: A comparative regulatory perspective.

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PubMed
Artificial Intelligence in Healthcare and Education
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Global approval and certification of ophthalmic AI devices: A comparative regulatory perspective.

Xia Gong, Marko M. Popovic, Polat Göktaş, Ally Zhao, Ryo Kawasaki, Kai Jin, Hidenori Takahashi, Mingguang He, T Y Alvin Liu, Andrzej Grzybowski, Masahiro Miyake
article en

Abstract

Artificial intelligence (AI) tools are rapidly reshaping ophthalmology by improving screening and diagnosis for diabetic retinopathy, age-related macular degeneration, glaucoma, and increasingly retina-based systemic risk assessment. This narrative review provides a comparative assessment of regulatory pathways governing ophthalmic AI and software as a medical device (SaMD) across the United States, European Union, United Kingdom, Australia, China, Japan, Canada, India, and selected emerging jurisdictions. We used a structured search of public regulator databases, guidance documents, manufacturer disclosures, and peer-reviewed literature to assemble a representative sample of marketed or authorized devices through August 2025; the device inventory is illustrative rather than exhaustive. Key differences persist in device classification, evidence expectations, change management for adaptive algorithms, and post-market oversight. Examples such as LumineticsCore, EyeArt, DrNoon for CVD, CLAiR, and EyeWisdom illustrate how risk-based approaches vary across jurisdictions. These inconsistencies can delay multi-region deployment and complicate implementation, supporting the need for lifecycle-focused and internationally aligned standards for safe, transparent, and equitable use of ophthalmic AI.

PubMed
Sabancı Üniversitesi (TR), Hong Kong Polytechnic University (HK), Johns Hopkins University (US), University of Toronto (CA), Kyoto University (JP), Vision Eye Institute (AU), Second Affiliated Hospital of Zhejiang University (CN), University of Warmia and Mazury in Olsztyn (PL), The University of Osaka (JP)
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare and Education
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