Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models.
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| Title: | Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models. |
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| Authors: | Srinivasan S; Centre for Innovation and Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore., Ai X; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, Connecticut., Zou M; Centre for Innovation and Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Zou K; Centre for Innovation and Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Kim H; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, Connecticut., Lo TWS; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore., Pushpanathan K; Centre for Innovation and Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Yang GD; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore., Goh JHL; Centre for Innovation and Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore., Kong Y; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, Connecticut., Li A; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, Connecticut., Singer MB; Department of Ophthalmology and Visual Science, Yale School of Medicine, Yale University, New Haven, Connecticut., Jin K; Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China., Antaki F; Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio.; CHUM School of Artificial Intelligence in Healthcare, Montreal, Quebec, Canada., Chen DZ; Centre for Innovation and Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.; Department of Ophthalmology, National University Hospital, Singapore., Liu D; Centre for Innovation and Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Adelman RA; Department of Ophthalmology and Visual Science, Yale School of Medicine, Yale University, New Haven, Connecticut., Chen Q; Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, Connecticut., Tham YC; Centre for Innovation and Precision Eye Health, Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.; Eye Academic Clinical Program, Duke NUS Medical School, Singapore. |
| Source: | JAMA ophthalmology [JAMA Ophthalmol] 2025 Sep 01; Vol. 143 (9), pp. 740-748. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Medical Association Country of Publication: United States NLM ID: 101589539 Publication Model: Print Cited Medium: Internet ISSN: 2168-6173 (Electronic) Linking ISSN: 21686165 NLM ISO Abbreviation: JAMA Ophthalmol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2168-6173 |
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| DOI: | 10.1001/jamaophthalmol.2025.2413 |
