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. 2024 Dec 1;142(12):1171-1173.
doi: 10.1001/jamaophthalmol.2024.4493.

Use of Artificial Intelligence-Based Detection of Diabetic Retinopathy in the US

Shreya A Shah  1 , Jared T Sokol  1 , Karen M Wai  1 , Ehsan Rahimy  1   2 , David Myung  1 , Prithvi Mruthyunjaya  1 , Ravi Parikh  3   4
Affiliations

Use of Artificial Intelligence-Based Detection of Diabetic Retinopathy in the US

Shreya A Shah et al. JAMA Ophthalmol. .
No abstract available

Plain language summary

This cohort study examines patient data from January 2019 to December 2023 to evaluate national trends in the use of artificial intelligence–based screenings to detect diabetic retinopathy among patients with types 1 or 2 diabetes.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Rahimy reported personal fees from Zeiss and Google outside the submitted work. Dr Parikh reported receiving consulting fees from Anthem Blue Cross Blue Shield, Regeneron, and Apellis Pharmaceuticals; serving as a consultant for GLG, Health and Wellness Partners, and Axon Advisors; and funding from the American Academy of Ophthalmology (AAO) for AAO-related work with the Relative Value Update Committee. No other disclosures were reported.

References

    1. Diabetes Workgroup . Increase the proportion of adults with diabetes who have a yearly eye exam — D-04. Healthy People 2030, Office of Disease Prevention and Health Promotion . Accessed February 24, 2024. https://health.gov/healthypeople/objectives-and-data/browse-objectives/d...
    1. Abràmoff MD, Lavin PT, Birch M, Shah N, Folk JC. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. NPJ Digit Med. Published online August 28, 2018. doi:10.1038/s41746-018-0040-6 - DOI - PMC - PubMed
    1. Lim JI, Regillo CD, Sadda SR, et al. . Artificial intelligence detection of diabetic retinopathy: subgroup comparison of the EyeArt system with ophthalmologists’ dilated examinations. Ophthalmol Sci. 2022;3(1):100228. doi:10.1016/j.xops.2022.100228 - DOI - PMC - PubMed
    1. AMA releases 2021 CPT code set. American Medical Association . Accessed February 25, 2024. https://www.ama-assn.org/press-center/press-releases/ama-releases-2021-c...
    1. Chen EM, Chen D, Chilakamarri P, Lopez R, Parikh R. Economic challenges of artificial intelligence adoption for diabetic retinopathy. Ophthalmology. 2021;128(3):475-477. doi:10.1016/j.ophtha.2020.07.043 - DOI - PubMed

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