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

Formative Evaluation of Digital Health Interventions (3568) e-Learning and Digital Medical Education (992) Methods and Feasibility Studies (568) Virtual Patients (90) Machine Learning (2301) Patient Education for Surgery and Anesthesiology (43) Perioperative Patient Education (32)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91021, first published .
Feasibility of Large Language Model–Based Standardized Virtual Patients to Support Clinical Decision-Making Training in Operative Dentistry: Mixed Methods Study

Feasibility of Large Language Model–Based Standardized Virtual Patients to Support Clinical Decision-Making Training in Operative Dentistry: Mixed Methods Study

Feasibility of Large Language Model–Based Standardized Virtual Patients to Support Clinical Decision-Making Training in Operative Dentistry: Mixed Methods Study

Authors of this article:

Fahad BaHammam1, 2, 3 Author Orcid Image
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Fahad BaHammam   1, 2, 3 , BDS, MClinDent, PhD

1 College of Dentistry, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia

2 King Abdullah International Medical Research Center, Riyadh, Saudi Arabia

3 Dental Services, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia

Corresponding Author:

  • Fahad BaHammam, BDS, MClinDent, PhD
  • College of Dentistry
  • King Saud bin Abdulaziz University for Health Sciences
  • Prince Mutib Ibn Abdullah Ibn Abdulaziz Rd, Ar Rimayah
  • Riyadh
  • Saudi Arabia
  • Phone: 966 114295941
  • Email: f.bahammam@gmail.com