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

Generative Language Models Including ChatGPT (521) Chatbots and Conversational Agents (645) e-Learning and Digital Medical Education (805) Dental Sciences (142)

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 (76) Tweetations (7) Metrics

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Books/Policy Documents

  1. Niazai H, Monib W. Teaching in the Age of Medical Technology. View

Conference Proceedings

  1. Huang J, Wei Y, Zhang L, Chen W. 2024 International Symposium on Educational Technology (ISET). Evaluating generative artificial intelligence in answering course-related open questions: A pilot study View