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Journal Abstract Search

123 related items for PubMed ID: 39374807

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  • 2. Performance of Generative Large Language Models on Ophthalmology Board-Style Questions.
    Cai LZ, Shaheen A, Jin A, Fukui R, Yi JS, Yannuzzi N, Alabiad C.
    Am J Ophthalmol; 2023 Oct; 254():141-149. PubMed ID: 37339728
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  • 3. Comparison of the problem-solving performance of ChatGPT-3.5, ChatGPT-4, Bing Chat, and Bard for the Korean emergency medicine board examination question bank.
    Lee GU, Hong DY, Kim SY, Kim JW, Lee YH, Park SO, Lee KR.
    Medicine (Baltimore); 2024 Mar 01; 103(9):e37325. PubMed ID: 38428889
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  • 5. Evaluating the Efficacy of AI Chatbots as Tutors in Urology: A Comparative Analysis of Responses to the 2022 In-Service Assessment of the European Board of Urology.
    May M, Körner-Riffard K, Kollitsch L, Burger M, Brookman-May SD, Rauchenwald M, Marszalek M, Eredics K.
    Urol Int; 2024 Mar 01; 108(4):359-366. PubMed ID: 38555637
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  • 14. Evaluation of Large language model performance on the Multi-Specialty Recruitment Assessment (MSRA) exam.
    Tsoutsanis P, Tsoutsanis A.
    Comput Biol Med; 2024 Jan 01; 168():107794. PubMed ID: 38043471
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  • 19. Development and evaluation of a large language model of ophthalmology in Chinese.
    Zheng C, Ye H, Guo J, Yang J, Fei P, Yuan Y, Huang D, Huang Y, Peng J, Xie X, Xie M, Zhao P, Chen L, Zhang M.
    Br J Ophthalmol; 2024 Sep 20; 108(10):1390-1397. PubMed ID: 39019566
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