Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51580, first published .
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

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

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

Journals

  1. Balasanjeevi G, Surapaneni K. Comparison of ChatGPT version 3.5 & 4 for utility in respiratory medicine education using clinical case scenarios. Respiratory Medicine and Research 2024;85:101091 View
  2. Goyanes M, Lopezosa C. ChatGPT en Ciencias Sociales: revisión de la literatura sobre el uso de inteligencia artificial (IA) de OpenAI en investigación cualitativa y cuantitativa. Anuario ThinkEPI 2024;18 View
  3. Kamihara T, Tabuchi M, Omura T, Suzuki Y, Aritake T, Hirashiki A, Kokubo M, Shimizu A. Evolution of a Large Language Model for Preoperative Assessment Based on the Japanese Circulation Society 2022 Guideline on Perioperative Cardiovascular Assessment and Management for Non-Cardiac Surgery. Circulation Reports 2024;6(4):142 View
  4. Wang L, Ma Y, Bi W, Lv H, Li Y. An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical Study. Journal of Medical Internet Research 2024;26:e54580 View
  5. Warrier A, Singh R, Haleem A, Zaki H, Eloy J. The Comparative Diagnostic Capability of Large Language Models in Otolaryngology. The Laryngoscope 2024;134(9):3997 View
  6. Rahimli Ocakoglu S, Coskun B. The Emerging Role of AI in Patient Education: A Comparative Analysis of the Accuracy of Large Language Models for Pelvic Organ Prolapse. Medical Principles and Practice 2024;33(4):330 View
  7. Andreadis K, Newman D, Twan C, Shunk A, Mann D, Stevens E. Mixed methods assessment of the influence of demographics on medical advice of ChatGPT. Journal of the American Medical Informatics Association 2024;31(9):2002 View
  8. Moulaei K, Yadegari A, Baharestani M, Farzanbakhsh S, Sabet B, Reza Afrash M. Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications. International Journal of Medical Informatics 2024;188:105474 View
  9. Liu L, Qu S, Zhao H, Kong L, Xie Z, Jiang Z, Zou P. Global trends and hotspots of ChatGPT in medical research: a bibliometric and visualized study. Frontiers in Medicine 2024;11 View
  10. Özbay Y. Evaluation of ChatGPT as a Multiple-Choice Question Generator in Dental Traumatology. Medical Records 2024;6(2):235 View
  11. Rossettini G, Rodeghiero L, Corradi F, Cook C, Pillastrini P, Turolla A, Castellini G, Chiappinotto S, Gianola S, Palese A. Comparative accuracy of ChatGPT-4, Microsoft Copilot and Google Gemini in the Italian entrance test for healthcare sciences degrees: a cross-sectional study. BMC Medical Education 2024;24(1) View
  12. Naz R, Akacı O, Erdoğan H, Açıkgöz A. Can large language models provide accurate and quality information to parents regarding chronic kidney diseases?. Journal of Evaluation in Clinical Practice 2024;30(8):1556 View
  13. Danesh A, Danesh A, Danesh F. Innovating dental diagnostics: ChatGPT's accuracy on diagnostic challenges. Oral Diseases 2024 View
  14. Khan M, O’Sullivan E. A comparison of the diagnostic ability of large language models in challenging clinical cases. Frontiers in Artificial Intelligence 2024;7 View
  15. Zhui L, Yhap N, Liping L, Zhengjie W, Zhonghao X, Xiaoshu Y, Hong C, Xuexiu L, Wei R. Impact of Large Language Models on Medical Education and Teaching Adaptations. JMIR Medical Informatics 2024;12:e55933 View
  16. Zhui L, Fenghe L, Xuehu W, Qining F, Wei R. Ethical Considerations and Fundamental Principles of Large Language Models in Medical Education: Viewpoint. Journal of Medical Internet Research 2024;26:e60083 View
  17. Shah-Mohammadi F, Finkelstein J. Accuracy Evaluation of GPT-Assisted Differential Diagnosis in Emergency Department. Diagnostics 2024;14(16):1779 View
  18. Akyon S, Akyon F, Camyar A, Hızlı F, Sari T, Hızlı Ş. Evaluating the Capabilities of Generative AI Tools in Understanding Medical Papers: Qualitative Study. JMIR Medical Informatics 2024;12:e59258 View
  19. Is E, Menekseoglu A. Comparative performance of artificial intelligence models in rheumatology board-level questions: evaluating Google Gemini and ChatGPT-4o. Clinical Rheumatology 2024;43(11):3507 View
  20. Tam T, Sivarajkumar S, Kapoor S, Stolyar A, Polanska K, McCarthy K, Osterhoudt H, Wu X, Visweswaran S, Fu S, Mathur P, Cacciamani G, Sun C, Peng Y, Wang Y. A framework for human evaluation of large language models in healthcare derived from literature review. npj Digital Medicine 2024;7(1) View
  21. Wu Z, Gan W, Xue Z, Ni Z, Zheng X, Zhang Y. Performance of ChatGPT on Nursing Licensure Examinations in the United States and China: Cross-Sectional Study. JMIR Medical Education 2024;10:e52746 View
  22. Peng L, Liang R, Zhao A, Sun R, Yi F, Zhong J, Li R, Zhu S, Zhang S, Wu S. Amplifying Chinese physicians’ emphasis on patients’ psychological states beyond urologic diagnoses with ChatGPT – a multicenter cross-sectional study. International Journal of Surgery 2024;110(10):6501 View
  23. Ezanno A, Fougerousse A, Pruvost-Balland C, Maccari F, Fite C. AI in Hidradenitis Suppurativa: Expert Evaluation of Patient-Facing Information. Clinical, Cosmetic and Investigational Dermatology 2024;Volume 17:2459 View
  24. Tokgöz Kaplan T, Cankar M. Evidence‐Based Potential of Generative Artificial Intelligence Large Language Models on Dental Avulsion: ChatGPT Versus Gemini. Dental Traumatology 2024 View
  25. Wang L, Wan Z, Ni C, Song Q, Li Y, Clayton E, Malin B, Yin Z. Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review. Journal of Medical Internet Research 2024;26:e22769 View
  26. Zheng J, Ding X, Pu J, Chung S, Ai Q, Hung K, Shan Z. Unlocking the Potentials of Large Language Models in Orthodontics: A Scoping Review. Bioengineering 2024;11(11):1145 View