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

Formative Evaluation of Digital Health Interventions (3223) Virtual Patients (77) Generative Language Models Including ChatGPT (704) Foundation Models and Their Applications in AI (51) Medical imaging (109) Breast Cancer (290) Doctor-Patient Communication on Cancer, Prevention, and Screening (78)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65670, first published .
Development of a GPT-4–Powered Virtual Simulated Patient and Communication Training Platform for Medical Students to Practice Discussing Abnormal Mammogram Results With Patients: Multiphase Study

Development of a GPT-4–Powered Virtual Simulated Patient and Communication Training Platform for Medical Students to Practice Discussing Abnormal Mammogram Results With Patients: Multiphase Study

Development of a GPT-4–Powered Virtual Simulated Patient and Communication Training Platform for Medical Students to Practice Discussing Abnormal Mammogram Results With Patients: Multiphase Study

Authors of this article:

Dan Weisman1 Author Orcid Image ;   Alanna Sugarman2 Author Orcid Image ;   Yue Ming Huang1, 3 Author Orcid Image ;   Lillian Gelberg4, 5 Author Orcid Image ;   Patricia A Ganz2, 5 Author Orcid Image ;   Warren Scott Comulada5, 6 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Journals

  1. Comulada W, McQueen C, Lang C. Empowering tomorrow’s public health researchers and clinicians to develop digital health interventions using chatbots, virtual reality, and other AI technologies. Frontiers in Public Health 2025;13 View
  2. Suárez-García R, Chavez-Castañeda Q, Orrico-Pérez R, Valencia-Marin S, Castañeda-Ramírez A, Quiñones-Lara E, Ramos-Cortés C, Gaytán-Gómez A, Cortés-Rodríguez J, Jarquín-Ramírez J, Aguilar-Marchand N, Valdés-Hernández G, Campos-Martínez T, Vilches-Flores A, Leon-Cabrera S, Méndez-Cruz A, Jay-Jímenez B, Saldívar-Cerón H. DIALOGUE: A Generative AI-Based Pre–Post Simulation Study to Enhance Diagnostic Communication in Medical Students Through Virtual Type 2 Diabetes Scenarios. European Journal of Investigation in Health, Psychology and Education 2025;15(8):152 View
  3. Comulada W, Ganz P, Huang Y, Weisman D, Sugarman A, Lee D, Shah S, Gelberg L. A Pilot Test of an AI Voice-Driven Simulation With Feedback for Medical Students to Practice Discussing Diagnostic Mammogram Results With Patients. Cureus 2025 View
  4. Nasimov R, Abdusalomov A, Khidirova C, Temirova K, Kutlimuratov A, Sadikova S, Jeong W, Choi H, Whangbo T. PatientEase—Domain-Aware RAG for Rehabilitation Instruction Simplification. Bioengineering 2025;12(11):1204 View
  5. Zeng J, Qi W, Shen S, Liu X, Li S, Wang B, Dong C, Zhu X, Shi Y, Lou X, Wang B, Yao J, Jiang G, Zhang Q, Cao S. Embracing the Future of Medical Education With Large Language Model–Based Virtual Patients: Scoping Review. Journal of Medical Internet Research 2025;27:e79091 View

Books/Policy Documents

  1. Mirzac V, Thallemer A, Yu M, Chen Y, Tsai C. New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence. View

Conference Proceedings

  1. Liu J, Liu Q. Proceedings of the 2025 International Conference on Artificial Intelligence and Educational Systems. Research on Academic Early Warning Model Construction and Intervention Strategy Optimization for University Students Based on Artificial Intelligence View