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Pubmed for Handhelds

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Journal Abstract Search

130 related items for PubMed ID: 38959373

  • 1. Can large language models provide accurate and quality information to parents regarding chronic kidney diseases?
    Naz R, Akacı O, Erdoğan H, Açıkgöz A.
    J Eval Clin Pract; 2024 Dec; 30(8):1556-1564. PubMed ID: 38959373
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  • 3. Assessing the Responses of Large Language Models (ChatGPT-4, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Breast Imaging: A Study on Readability and Accuracy.
    Tepe M, Emekli E.
    Cureus; 2024 May; 16(5):e59960. PubMed ID: 38726360
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  • 4. Evaluating the reliability of the responses of large language models to keratoconus-related questions.
    Kayabaşı M, Köksaldı S, Durmaz Engin C.
    Clin Exp Optom; 2024 Oct 24; ():1-8. PubMed ID: 39448387
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  • 6. Assessment of readability, reliability, and quality of ChatGPT®, BARD®, Gemini®, Copilot®, Perplexity® responses on palliative care.
    Hancı V, Ergün B, Gül Ş, Uzun Ö, Erdemir İ, Hancı FB.
    Medicine (Baltimore); 2024 Aug 16; 103(33):e39305. PubMed ID: 39151545
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  • 8. Assessing the Responses of Large Language Models (ChatGPT-4, Claude 3, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Retinopathy of Prematurity: A Study on Readability and Appropriateness.
    Ermis S, Özal E, Karapapak M, Kumantaş E, Özal SA.
    J Pediatr Ophthalmol Strabismus; 2024 Oct 28; ():1-12. PubMed ID: 39465590
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  • 11. Performance of three artificial intelligence (AI)-based large language models in standardized testing; implications for AI-assisted dental education.
    Sabri H, Saleh MHA, Hazrati P, Merchant K, Misch J, Kumar PS, Wang HL, Barootchi S.
    J Periodontal Res; 2024 Jul 18. PubMed ID: 39030766
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  • 12. Assessing the Readability of Patient Education Materials on Cardiac Catheterization From Artificial Intelligence Chatbots: An Observational Cross-Sectional Study.
    Behers BJ, Vargas IA, Behers BM, Rosario MA, Wojtas CN, Deevers AC, Hamad KM.
    Cureus; 2024 Jul 18; 16(7):e63865. PubMed ID: 39099896
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  • 14. 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 18; 20(7):603-608. PubMed ID: 38644078
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  • 16. Comparative accuracy of ChatGPT-4, Microsoft Copilot and Google Gemini in the Italian entrance test for healthcare sciences degrees: a cross-sectional study.
    Rossettini G, Rodeghiero L, Corradi F, Cook C, Pillastrini P, Turolla A, Castellini G, Chiappinotto S, Gianola S, Palese A.
    BMC Med Educ; 2024 Jun 26; 24(1):694. PubMed ID: 38926809
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  • 17. Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study.
    He Z, Bhasuran B, Jin Q, Tian S, Hanna K, Shavor C, Arguello LG, Murray P, Lu Z.
    J Med Internet Res; 2024 Apr 17; 26():e56655. PubMed ID: 38630520
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  • 18. Can AI Answer My Questions? Utilizing Artificial Intelligence in the Perioperative Assessment for Abdominoplasty Patients.
    Lim B, Seth I, Cuomo R, Kenney PS, Ross RJ, Sofiadellis F, Pentangelo P, Ceccaroni A, Alfano C, Rozen WM.
    Aesthetic Plast Surg; 2024 Nov 17; 48(22):4712-4724. PubMed ID: 38898239
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