Combined diagnostic accuracy of two artificial intelligence systems for glaucoma diagnosis using color fundus photography.
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| Title: | Combined diagnostic accuracy of two artificial intelligence systems for glaucoma diagnosis using color fundus photography. |
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| Authors: | da Silva Filho GV; Department of Ophthalmology and Visual Science, Glaucoma Service, Universidade Federal de São Paulo, São Paulo, Brazil., Caiado GC; Department of Ophthalmology and Visual Science, Glaucoma Service, Universidade Federal de São Paulo, São Paulo, Brazil., Yamamoto FZ; Department of Ophthalmology and Visual Science, Glaucoma Service, Universidade Federal de São Paulo, São Paulo, Brazil., Teixeira SH; Department of Ophthalmology and Visual Science, Glaucoma Service, Universidade Federal de São Paulo, São Paulo, Brazil., Prata TDS; Department of Ophthalmology and Visual Science, Glaucoma Service, Universidade Federal de São Paulo, São Paulo, Brazil., Gracitelli CPB; Department of Ophthalmology and Visual Science, Glaucoma Service, Universidade Federal de São Paulo, São Paulo, Brazil., Paranhos A Jr; Department of Ophthalmology and Visual Science, Glaucoma Service, Universidade Federal de São Paulo, São Paulo, Brazil. |
| Source: | PloS one [PLoS One] 2026 May 28; Vol. 21 (5), pp. e0349878. Date of Electronic Publication: 2026 May 28 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0349878 |
