Artificial intelligence chatbot interpretation of ophthalmic multimodal imaging cases-Reference-Cited by-同舟云学术

Artificial intelligence chatbot interpretation of ophthalmic multimodal imaging cases

Published:2024-04-22 Issue:13 Volume:38 Page:2491-2493
ISSN:0950-222X
Container-title:Eye
language:en
Short-container-title:Eye

Author:

Mihalache Andrew^ORCID,Huang Ryan S.^ORCID,Cruz-Pimentel Miguel,Patil Nikhil S.^ORCID,Popovic Marko M.^ORCID,Pandya Bhadra U.,Shor Reut,Pereira Austin,Muni Rajeev H.^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41433-024-03074-5.pdf

Reference10 articles.

1. Li Z, Wang L, Wu X, Jiang J, Qiang W, Xie H, et al. Artificial intelligence in ophthalmology: the path to the real-world clinic. Cell Rep Med. 2023;4:101095.

2. Mihalache A, Huang RS, Popovic MM, Muni RH. ChatGPT-4: an assessment of an upgraded artificial intelligence chatbot in the United States Medical Licensing Examination. Med Teach. 2023: 1–7. Available at: https://www.tandfonline.com/doi/full/10.1080/0142159X.2023.2249588.

3. Kung TH, Cheatham M, Medenilla A, Sillos C, De Leon L, Elepaño C, et al. Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models Dagan A (ed). PLoS Digit Health. 2023;2:e0000198 https://dx.plos.org/10.1371/journal.pdig.0000198.

4. Mihalache A, Huang RS, Popovic MM, Patil NS, Shor R, Pandya BU, et al. Accuracy of an artificial intelligence chatbot’s interpretation of clinical ophthalmic images. JAMA Ophthalmol. https://doi.org/10.1001/jamaophthalmol.2024.0017.

5. Mihalache A, Popovic MM, Muni RH. Performance of an artificial intelligence chatbot in ophthalmic knowledge assessment. JAMA Ophthalmol. 2023;141:589–97.

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