Accuracy of Artificial Intelligence in Estimating Best-Corrected Visual Acuity From Fundus Photographs in Eyes With Diabetic Macular Edema

Paul, W., Burlina, P., Mocharla, R., Joshi, N., Li, Z., Gu, S., Nanegrungsunk, O., Lin, K., Bressler, S. B., Cai, C. X., Kong, J., Liu, T. Y. A., Moini, H., Du, W., Amer, F., Chu, K., Vitti, R., Sepehrband, F., & Bressler, N. M. (2023). Accuracy of Artificial Intelligence in Estimating Best-Corrected Visual Acuity From Fundus Photographs in Eyes With Diabetic Macular Edema. JAMA Ophthalmology, 141(7), 677. https://doi.org/10.1001/jamaophthalmol.2023.2271
Authors:
William Paul
Philippe Burlina
Rohita Mocharla
Neil Joshi
Zhuolin Li
Sophie Gu
Onnisa Nanegrungsunk
Kira Lin
Susan B Bressler
Cindy X Cai
Jun Kong
T Y Alvin Liu
Hadi Moini
Weiming Du
Fouad Amer
Karen Chu
Robert Vitti
Farshid Sepehrband
Neil M Bressler
Affiliated Authors:
Sophie Gu
Columbia Affiliation:
Subjects:
Macular Edema (MeSH)
Diabetic Retinopathy (MeSH)
Diabetes Mellitus (MeSH)
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Publication Type:
Article
Unique ID:
10.1001/jamaophthalmol.2023.2271
PMID:
37289463
DOI:
10.1001/jamaophthalmol.2023.2271
Journal:
JAMA Ophthalmology
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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