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

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Authors: Andrzej Grzybowski, T Y Alvin Liu, Marko M. Popovic, Ally Zhao, Masahiro Miyake, Hidenori Takahashi, Ryo Kawasaki, Mingguang He, Xia Gong, Polat Göktaş, Kai Jin
Cited by: 1
References: 34

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.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Retinal Imaging and Analysis Healthcare Technology and Patient Monitoring

Publication details

Journal / source
Asia-Pacific Journal of Ophthalmology
Publisher
Elsevier BV
Volume
15
Issue
3
Pages
100328–100328
Publication date
1 May 2026
Language
EN