Accuracy of AI in estimating best-corrected visual acuity from fundus photographs in eyes with diabetic macular edema

JAMA Ophthalmology

2023-06-08

(Press-News.org) 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.

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(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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[Press-News.org] Accuracy of AI in estimating best-corrected visual acuity from fundus photographs in eyes with diabetic macular edema
JAMA Ophthalmology

Accuracy of AI in estimating best-corrected visual acuity from fundus photographs in eyes with diabetic macular edema

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