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

Artificial Intelligence (AI) in Medical Education (235) New Methods and Approaches in Medical Education (426) Simulation (187) Undergraduate Education for Future Healthcare Professionals (64) Virtual Patients (87) Artificial Intelligence (2371) e-Learning and Digital Medical Education (970)

Published on in Vol 11 (2025)

This is a member publication of University of Bath (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70766, first published .
Application of AI Communication Training Tools in Medical Undergraduate Education: Mixed Methods Feasibility Study Within a Primary Care Context

Application of AI Communication Training Tools in Medical Undergraduate Education: Mixed Methods Feasibility Study Within a Primary Care Context

Application of AI Communication Training Tools in Medical Undergraduate Education: Mixed Methods Feasibility Study Within a Primary Care Context

Authors of this article:

Chris Jacobs1 Author Orcid Image ;   Hans Johnson2 Author Orcid Image ;   Nina Tan1 Author Orcid Image ;   Kirsty Brownlie2 Author Orcid Image ;   Richard Joiner1 Author Orcid Image ;   Trevor Thompson2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. L.C P, Suryavanshi C, Prabhu K, Chauhan A, Raghurama Nayak K, Komattil R, Baig M. Enhancing medical communication skills through video-recorded peer role-play and a standardized checklist. PLOS One 2026;21(2):e0343202 View
  2. Sun N, Zhou X, Yang Z, Zhou Y, Ma R, Wang Z. Application of AI-based virtual standardized patients in physician-patient communication training: a study based on the SEGUE framework. Frontiers in Public Health 2026;14 View