Global approval and certification of ophthalmic AI devices: A comparative regulatory perspective.
Andrzej Grzybowski, T Y Alvin Liu, Marko M Popovic, Ally Zhao, Masahiro Miyake, Hidenori Takahashi, Ryo Kawasaki, Mingguang He, Xia Gong, Polat Goktas, Kai Jin
AI Summary
This review found ophthalmic AI device regulations vary globally, creating deployment hurdles. Aligned international standards are crucial for safe, equitable clinical use.
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.
Related Articles5
Diagnosis of multiple sclerosis: 2024 revisions of the McDonald criteria.
Review2024 MAGNIMS-CMSC-NAIMS consensus recommendations on the use of MRI for the diagnosis of multiple sclerosis.
ReviewThe use of optical coherence tomography and visual evoked potentials in the 2024 McDonald diagnostic criteria for multiple sclerosis.
ReviewMultimodal artificial intelligence in ophthalmology: Applications, challenges, and future directions.
Systematic ReviewLongitudinal variability outcomes of frontloaded visual field testing.
Longitudinal StudyIs this article assigned to the wrong chapter(s)? Let us know.