Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52346, first published .
Artificial Intelligence in Dental Education: Opportunities and Challenges of Large Language Models and Multimodal Foundation Models

Artificial Intelligence in Dental Education: Opportunities and Challenges of Large Language Models and Multimodal Foundation Models

Artificial Intelligence in Dental Education: Opportunities and Challenges of Large Language Models and Multimodal Foundation Models

Authors of this article:

Daniel Claman1 Author Orcid Image ;   Emre Sezgin2, 3 Author Orcid Image

Journals

  1. Puleio F, Lo Giudice G, Bellocchio A, Boschetti C, Lo Giudice R. Clinical, Research, and Educational Applications of ChatGPT in Dentistry: A Narrative Review. Applied Sciences 2024;14(23):10802 View
  2. 陈 玮. Exploration on the Integration of Artificial Intelligence to the Teaching of Periodontology. Creative Education Studies 2024;12(12):261 View
  3. Kinikoglu I. Evaluating ChatGPT and Google Gemini Performance and Implications in Turkish Dental Education. Cureus 2025 View
  4. Lee S, Poon J, Jindarojanakul A, Huang C, Viera O, Cheong C, Lee J. Artificial intelligence in dentistry: Exploring emerging applications and future prospects. Journal of Dentistry 2025;155:105648 View
  5. Hu C, Li F, Wang S, Gao Z, Pan S, Qing M. The role of artificial intelligence in enhancing personalized learning pathways and clinical training in dental education. Cogent Education 2025;12(1) View
  6. Davies A. Generative Artificial Intelligence, With Constrained Information, Outperforms Pre‐Doctoral Student Average on Oral Pathology Differential Diagnosis Questions. European Journal of Dental Education 2025 View

Books/Policy Documents

  1. Uribe S, Schwendicke F, González-Cabezas C. Artificial Intelligence for Oral Health Care. View
  2. Nasir Y. Next-Generation Dentistry Practices to Enhance Patient Outcomes. View