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Journal Abstract Search

381 related items for PubMed ID: 38428889

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  • 2. Evaluation of the Performance of Generative AI Large Language Models ChatGPT, Google Bard, and Microsoft Bing Chat in Supporting Evidence-Based Dentistry: Comparative Mixed Methods Study.
    Giannakopoulos K, Kavadella A, Aaqel Salim A, Stamatopoulos V, Kaklamanos EG.
    J Med Internet Res; 2023 Dec 28; 25():e51580. PubMed ID: 38009003
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  • 3. Evidence-based potential of generative artificial intelligence large language models in orthodontics: a comparative study of ChatGPT, Google Bard, and Microsoft Bing.
    Makrygiannakis MA, Giannakopoulos K, Kaklamanos EG.
    Eur J Orthod; 2024 Apr 13. PubMed ID: 38613510
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  • 5. Evaluation of Large language model performance on the Multi-Specialty Recruitment Assessment (MSRA) exam.
    Tsoutsanis P, Tsoutsanis A.
    Comput Biol Med; 2024 Jan 13; 168():107794. PubMed ID: 38043471
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  • 9. Harnessing artificial intelligence in bariatric surgery: comparative analysis of ChatGPT-4, Bing, and Bard in generating clinician-level bariatric surgery recommendations.
    Lee Y, Shin T, Tessier L, Javidan A, Jung J, Hong D, Strong AT, McKechnie T, Malone S, Jin D, Kroh M, Dang JT, ASMBS Artificial Intelligence and Digital Surgery Task Force.
    Surg Obes Relat Dis; 2024 Jul 13; 20(7):603-608. PubMed ID: 38644078
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  • 10. Evaluating the efficacy of leading large language models in the Japanese national dental hygienist examination: A comparative analysis of ChatGPT, Bard, and Bing Chat.
    Yamaguchi S, Morishita M, Fukuda H, Muraoka K, Nakamura T, Yoshioka I, Soh I, Ono K, Awano S.
    J Dent Sci; 2024 Oct 13; 19(4):2262-2267. PubMed ID: 39347065
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  • 12. Performance evaluation of ChatGPT, GPT-4, and Bard on the official board examination of the Japan Radiology Society.
    Toyama Y, Harigai A, Abe M, Nagano M, Kawabata M, Seki Y, Takase K.
    Jpn J Radiol; 2024 Feb 13; 42(2):201-207. PubMed ID: 37792149
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  • 15. Accuracy of large language models in answering ophthalmology board-style questions: A meta-analysis.
    Wu JH, Nishida T, Liu TYA.
    Asia Pac J Ophthalmol (Phila); 2024 Feb 13; 13(5):100106. PubMed ID: 39374807
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  • 16. Clinical application potential of large language model: a study based on thyroid nodules.
    Xia S, Hua Q, Mei Z, Xu W, Lai L, Wei M, Qin Y, Luo L, Wang C, Huo S, Fu L, Zhou F, Wu J, Zhang L, Lv D, Li J, Wang X, Li N, Song Y, Zhou J.
    Endocrine; 2024 Jul 30. PubMed ID: 39080210
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  • 17. Comparison of artificial intelligence large language model chatbots in answering frequently asked questions in anaesthesia.
    Nguyen TP, Carvalho B, Sukhdeo H, Joudi K, Guo N, Chen M, Wolpaw JT, Kiefer JJ, Byrne M, Jamroz T, Mootz AA, Reale SC, Zou J, Sultan P.
    BJA Open; 2024 Jun 30; 10():100280. PubMed ID: 38764485
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  • 18. AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat.
    Qarajeh A, Tangpanithandee S, Thongprayoon C, Suppadungsuk S, Krisanapan P, Aiumtrakul N, Garcia Valencia OA, Miao J, Qureshi F, Cheungpasitporn W.
    Clin Pract; 2023 Sep 26; 13(5):1160-1172. PubMed ID: 37887080
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  • 19. Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bank.
    Ali R, Tang OY, Connolly ID, Fridley JS, Shin JH, Zadnik Sullivan PL, Cielo D, Oyelese AA, Doberstein CE, Telfeian AE, Gokaslan ZL, Asaad WF.
    Neurosurgery; 2023 Nov 01; 93(5):1090-1098. PubMed ID: 37306460
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