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

Virtual Patients (78) e-Learning and Digital Medical Education (922) Development and Evaluation of Research Methods, Instruments and Tools (767) Machine Learning (2138) New Methods and Approaches in Medical Education (393) mHealth in Medical Education and Training (125) Preliminary Experiences with New Educational Technology (42) Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) Ambient AI Scribes and AI-Driven Documentation Technologies (15)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73419, first published .
Development and Validation of a Large Language Model–Based System for Medical History-Taking Training: Prospective Multicase Study on Evaluation Stability, Human-AI Consistency, and Transparency

Development and Validation of a Large Language Model–Based System for Medical History-Taking Training: Prospective Multicase Study on Evaluation Stability, Human-AI Consistency, and Transparency

Development and Validation of a Large Language Model–Based System for Medical History-Taking Training: Prospective Multicase Study on Evaluation Stability, Human-AI Consistency, and Transparency

Authors of this article:

Yang Liu1 Author Orcid Image ;   Chujun Shi1 Author Orcid Image ;   Liping Wu1 Author Orcid Image ;   Xiule Lin1 Author Orcid Image ;   Xiaoqin Chen1 Author Orcid Image ;   Yiying Zhu1 Author Orcid Image ;   Haizhu Tan2 Author Orcid Image ;   Weishan Zhang1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Bartkowski J, Zerdka J, Brasse P, Piszka M, Kwapien E, Staszkiewicz K, Kubicka M, Staszkiewicz K, Czarnecki F. Artificial Intelligence in Medicine With Emphasis on Orthopedic Practice. Cureus 2025 View
  2. Zouakia Z, Logak E, Szymczak A, Jais J, Burgun A, Tsopra R. AI-Driven Objective Structured Clinical Examination Generation in Digital Health Education: Comparative Analysis of Three GPT-4o Configurations. JMIR Medical Education 2026;12:e82116 View