{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T00:40:10Z","timestamp":1783125610736,"version":"3.54.6"},"reference-count":4,"publisher":"American Medical Association (AMA)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"Importance<\/jats:title>Determining spectacle-corrected visual acuity (VA) is essential when managing many ophthalmic diseases. If artificial intelligence (AI) evaluations of macular images estimated this VA from a fundus image, AI might provide spectacle-corrected VA without technician costs, reduce visit time, or facilitate home monitoring of VA from fundus images obtained outside of the clinic.<\/jats:p><\/jats:sec>Objective<\/jats:title>To estimate spectacle-corrected VA measured on a standard eye chart among patients with diabetic macular edema (DME) in clinical practice settings using previously validated AI algorithms evaluating best-corrected VA from fundus photographs in eyes with DME.<\/jats:p><\/jats:sec>Design, Setting, and Participants<\/jats:title>Retrospective cross-sectional evaluation of deidentified fundus photographs matched to spectacle-corrected VA determined by technicians on eye charts among patients with a history of DME based on optical coherence tomography and at least 2 visits within 1 to 6 months of each other at a university-based clinic between January 2014 and December 2022. Data were analyzed from January 2023 to October 2024.<\/jats:p><\/jats:sec>Exposure<\/jats:title>Previously validated AI algorithm evaluation of fundus photographs.<\/jats:p><\/jats:sec>Main Outcomes and Measures<\/jats:title>AI-determined VA mean absolute error (MAE) compared with actual spectacle-corrected VA.<\/jats:p><\/jats:sec>Results<\/jats:title>Among 141 patients, the mean (SD) age was 63 (13) years, 71 (50%) were male, 2 (1%) were Asian, 42 (30%) were Black or African American, and 88 (63%) were White. Among 282 eyes at visit 1, 66 had nonproliferative diabetic retinopathy (NPDR) and DME, 38 had proliferative diabetic retinopathy (PDR) and DME, 101 had NPDR and no DME, and 77 had PDR and no DME. Among 564 images (282 eyes) at both initial and follow-up visits, MAE (SD) among eyes with NPDR, with or without center-involved DME (CI-DME), was 1.16 (1.00) lines on the eye chart for VA between 20\/10 and 20\/20 (67 images), and 1.44 (1.15) lines for between VA 20\/25 and 20\/80 (231 images). MAE (SD) among eyes with PDR, with or without CI-DME, was 1.92 (1.08) lines for VA between 20\/10 and 20\/20 (50 images), and 1.42 (0.97) lines for spectacle-corrected VA between 20\/25 and 20\/80 (150 images). Only 65 images had VA 20\/100 or worse, precluding meaningful analyses.<\/jats:p><\/jats:sec>Conclusions and Relevance<\/jats:title>In this cross-sectional study, AI evaluation of fundus photographs among patients with DME and VA 20\/80 or better estimated spectacle-corrected VA within approximately 1 to 1.5 lines of actual spectacle-corrected VA. These results support use of AI evaluation of fundus photographs to determine spectacle-corrected VA among patients with DME globally, beyond ophthalmology offices.<\/jats:p><\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2024.53770","type":"journal-article","created":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T16:31:20Z","timestamp":1736526680000},"page":"e2453770","source":"Crossref","is-referenced-by-count":3,"title":["Estimating Visual Acuity With Spectacle Correction From Fundus Photos Using Artificial Intelligence"],"prefix":"10.1001","volume":"8","author":[{"given":"Ashley","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland"},{"name":"Department of Ophthalmology, Mayo Clinic, Rochester, Minnesota"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuolin","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William","family":"Paul","sequence":"additional","affiliation":[{"name":"Applied Physics Laboratory, The Johns Hopkins University, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philippe","family":"Burlina","sequence":"additional","affiliation":[{"name":"Applied Physics Laboratory, The Johns Hopkins University, Baltimore, Maryland"},{"name":"Department of Computer Science and Malone Center for Engineering in Healthcare, The Johns Hopkins University, Baltimore, Maryland"},{"name":"Zoox, Inc, Foster City, California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rohita","family":"Mocharla","sequence":"additional","affiliation":[{"name":"Applied Physics Laboratory, The Johns Hopkins University, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neil","family":"Joshi","sequence":"additional","affiliation":[{"name":"Applied Physics Laboratory, The Johns Hopkins University, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sophie","family":"Gu","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland"},{"name":"Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Onnisa","family":"Nanegrungsunk","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland"},{"name":"Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susan","family":"Bressler","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cindy X.","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T. Y.","family":"Alvin Liu","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hadi","family":"Moini","sequence":"additional","affiliation":[{"name":"Regeneron Pharmaceuticals, Inc, Tarrytown, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farshid","family":"Sepehrband","sequence":"additional","affiliation":[{"name":"Regeneron Pharmaceuticals, Inc, Tarrytown, New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neil M.","family":"Bressler","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Kong","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","published-online":{"date-parts":[[2025,1,10]]},"reference":[{"issue":"7","key":"zoi241506r1","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1001\/jamaophthalmol.2023.2271","article-title":"Accuracy of artificial intelligence in estimating best-corrected visual acuity from fundus photographs in eyes with diabetic macular edema.","volume":"141","author":"Paul","year":"2023","journal-title":"JAMA Ophthalmol"},{"issue":"9","key":"zoi241506r2","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1001\/jamaophthalmol.2014.1698","article-title":"Reproducibility of spectral-domain optical coherence tomography retinal thickness measurements and conversion to equivalent time-domain metrics in diabetic macular edema.","volume":"132","author":"Bressler","year":"2014","journal-title":"JAMA Ophthalmol"},{"issue":"2","key":"zoi241506r3","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/S0002-9394(02)01825-1","article-title":"A computerized method of visual acuity testing: adaptation of the early treatment of diabetic retinopathy study testing protocol.","volume":"135","author":"Beck","year":"2003","journal-title":"Am J Ophthalmol"},{"issue":"19","key":"zoi241506r4","doi-asserted-by":"publisher","first-page":"1880","DOI":"10.1001\/jama.2019.5790","article-title":"Effect of initial management with aflibercept vs laser photocoagulation vs observation on vision loss among patients with diabetic macular edema involving the center of the macula and good visual acuity: a randomized clinical trial.","volume":"321","author":"Baker","year":"2019","journal-title":"JAMA"}],"container-title":["JAMA Network Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/articlepdf\/2828921\/zhou_2025_oi_241506_1735336817.54121.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T16:31:22Z","timestamp":1736526682000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/fullarticle\/2828921"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,10]]},"references-count":4,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1,2]]}},"URL":"https:\/\/doi.org\/10.1001\/jamanetworkopen.2024.53770","relation":{},"ISSN":["2574-3805"],"issn-type":[{"value":"2574-3805","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,10]]}}}