This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (206) Chatbots and Conversational Agents (463) e-Learning and Medical Education (648) Dental Sciences (110)

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

Authors of this article:

Kostis Giannakopoulos1 Author Orcid Image ;   Argyro Kavadella1 Author Orcid Image ;   Anas Aaqel Salim1 Author Orcid Image ;   Vassilis Stamatopoulos2 Author Orcid Image ;   Eleftherios G Kaklamanos1, 3, 4 Author Orcid Image
Article Authors Cited by (12) Tweetations (7) Metrics

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 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 2024:1 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 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 View