Accuracy of AI in estimating best-corrected visual acuity from fundus photographs in eyes with diabetic macular edema
JAMA Ophthalmology
Published 2023-06-08 · Original archive entry · Explore research explainers
About The Study: The results of this investigation suggest artificial intelligence (AI) can estimate best-corrected visual acuity directly from fundus photographs in patients with diabetic macular edema, without refraction or subjective visual acuity measurements, often within one to two lines on an Early Treatment Diabetic Retinopathy Study chart, supporting this AI concept if additional improvements in estimates can be achieved.
Authors: Neil M. Bressler, M.D., of the Johns Hopkins University School of Medicine in Baltimore, and Editor, JAMA Ophthalmology, is the corresponding author.
To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/
(doi:10.1001/jamaophthalmol.2023.2271)
Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.
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Authors: Neil M. Bressler, M.D., of the Johns Hopkins University School of Medicine in Baltimore, and Editor, JAMA Ophthalmology, is the corresponding author.
To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/
(doi:10.1001/jamaophthalmol.2023.2271)
Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.
# # #
Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time https://jamanetwork.com/journals/jamaophthalmology/fullarticle/10.1001/jamaophthalmol.2023.2271?guestAccessKey=de13b9b3-b969-491b-bd4e-61b1ddf6a4f0&utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=060823
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