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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (101) Formative Evaluation of Digital Health Interventions (2806) Chatbots and Conversational Agents (626) Machine Learning (1730) Virtual Patients (62) New Methods and Approaches in Medical Education (310) Generative Language Models Including ChatGPT (489) Artificial Intelligence (1720) Artificial Intelligence (AI) in Medical Education (122)

Published on in Vol 10 (2024)

This is a member publication of University of Washington

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50705, first published .
Increasing Realism and Variety of Virtual Patient Dialogues for Prenatal Counseling Education Through a Novel Application of ChatGPT: Exploratory Observational Study

Increasing Realism and Variety of Virtual Patient Dialogues for Prenatal Counseling Education Through a Novel Application of ChatGPT: Exploratory Observational Study

Increasing Realism and Variety of Virtual Patient Dialogues for Prenatal Counseling Education Through a Novel Application of ChatGPT: Exploratory Observational Study

Authors of this article:

Megan Gray1 Author Orcid Image ;   Austin Baird2 Author Orcid Image ;   Taylor Sawyer1 Author Orcid Image ;   Jasmine James3 Author Orcid Image ;   Thea DeBroux1 Author Orcid Image ;   Michelle Bartlett4 Author Orcid Image ;   Jeanne Krick5 Author Orcid Image ;   Rachel Umoren1 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Journals

  1. Thomae A, Witt C, Barth J. Integration of ChatGPT Into a Course for Medical Students: Explorative Study on Teaching Scenarios, Students’ Perception, and Applications. JMIR Medical Education 2024;10:e50545 View
  2. Alanezi F. Factors influencing patients’ engagement with ChatGPT for accessing health-related information. Critical Public Health 2024;34(1):1 View
  3. Pap I, Oniga S. eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication. Sensors 2024;24(18):6140 View
  4. Aydin S, Karabacak M, Vlachos V, Margetis K. Large language models in patient education: a scoping review of applications in medicine. Frontiers in Medicine 2024;11 View
  5. Selim R, Basu A, Anto A, Foscht T, Eisingerich A. Effects of Large Language Model–Based Offerings on the Well-Being of Students: Qualitative Study. JMIR Formative Research 2024;8:e64081 View
  6. Baird A, Umoren R, White S, Gray M, Sawyer T. A Whole-Body Physiology Model to Investigate Respiratory Function During Exercise Across Different Age Cohorts. Journal of Respiration 2025;5(1):1 View
  7. Cross J, Kayalackakom T, Robinson R, Vaughans A, Sebastian R, Hood R, Lewis C, Devaraju S, Honnavar P, Naik S, Joseph J, Anand N, Mohammed A, Johnson A, Cohen E, Adeniji T, Nnenna Nnaji A, George J. The Digital Shift: Assessing ChatGPT’s Capability as a New Age Standardized Patient – A Qualitative Study (Preprint). JMIR Medical Education 2024 View
  8. Chokkakula S, Chong S, Yang B, Jiang H, Yu J, Han R, Attitalla I, Yin C, Zhang S. Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes. Frontiers in Medicine 2025;12 View

Books/Policy Documents

  1. Bansal K. Modernizing Maternal Care With Digital Technologies. View

Conference Proceedings

  1. Fang A, Chhabria H, Maram A, Zhu H. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Social Simulation for Everyday Self-Care: Design Insights from Leveraging VR, AR, and LLMs for Practicing Stress Relief View