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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

145 related items for PubMed ID: 39394122

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  • 23. Advancement of Generative Pre-trained Transformer Chatbots in Answering Clinical Questions in the Practical Rhinoplasty Guideline.
    Shiraishi M, Tsuruda S, Tomioka Y, Chang J, Hori A, Ishii S, Fujinaka R, Ando T, Ohba J, Okazaki M.
    Aesthetic Plast Surg; 2024 Sep 25. PubMed ID: 39322837
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  • 25. Comparing the performance of artificial intelligence learning models to medical students in solving histology and embryology multiple choice questions.
    Bajčetić M, Mirčić A, Rakočević J, Đoković D, Milutinović K, Zaletel I.
    Ann Anat; 2024 Jun 25; 254():152261. PubMed ID: 38521363
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  • 29. Evaluating ChatGPT-4's Accuracy in Identifying Final Diagnoses Within Differential Diagnoses Compared With Those of Physicians: Experimental Study for Diagnostic Cases.
    Hirosawa T, Harada Y, Mizuta K, Sakamoto T, Tokumasu K, Shimizu T.
    JMIR Form Res; 2024 Jun 26; 8():e59267. PubMed ID: 38924784
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  • 31. Assessing Generative Pretrained Transformers (GPT) in Clinical Decision-Making: Comparative Analysis of GPT-3.5 and GPT-4.
    Lahat A, Sharif K, Zoabi N, Shneor Patt Y, Sharif Y, Fisher L, Shani U, Arow M, Levin R, Klang E.
    J Med Internet Res; 2024 Jun 27; 26():e54571. PubMed ID: 38935937
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  • 32. GPT-4 Artificial Intelligence Model Outperforms ChatGPT, Medical Students, and Neurosurgery Residents on Neurosurgery Written Board-Like Questions.
    Guerra GA, Hofmann H, Sobhani S, Hofmann G, Gomez D, Soroudi D, Hopkins BS, Dallas J, Pangal DJ, Cheok S, Nguyen VN, Mack WJ, Zada G.
    World Neurosurg; 2023 Nov 27; 179():e160-e165. PubMed ID: 37597659
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  • 33. Assessment of Emergency Medicine Residents' Clinical Reasoning: Validation of a Script Concordance Test.
    Steinberg E, Cowan E, Lin MP, Sielicki A, Warrington S.
    West J Emerg Med; 2020 Jun 24; 21(4):978-984. PubMed ID: 32726273
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  • 35. Competency Assessment in Family Medicine Residency: Observations, Knowledge-Based Examinations, and Advancement.
    Mainous AG, Fang B, Peterson LE.
    J Grad Med Educ; 2017 Dec 24; 9(6):730-734. PubMed ID: 29270263
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  • 36. Evaluating text and visual diagnostic capabilities of large language models on questions related to the Breast Imaging Reporting and Data System Atlas 5th edition.
    Güneş YC, Cesur T, Çamur E, Günbey Karabekmez L.
    Diagn Interv Radiol; 2024 Sep 09. PubMed ID: 39248152
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  • 39. Large Language Models for Therapy Recommendations Across 3 Clinical Specialties: Comparative Study.
    Wilhelm TI, Roos J, Kaczmarczyk R.
    J Med Internet Res; 2023 Oct 30; 25():e49324. PubMed ID: 37902826
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  • 40. Evaluating AI Proficiency in Nuclear Cardiology: Large Language Models take on the Board Preparation Exam.
    Builoff V, Shanbhag A, Miller RJ, Dey D, Liang JX, Flood K, Bourque JM, Chareonthaitawee P, Phillips LM, Slomka PJ.
    medRxiv; 2024 Jul 16. PubMed ID: 39072028
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