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

Virtual Patients (49) Generative Language Models Including ChatGPT (202) Artificial Intelligence (1189) Theme Issue: ChatGPT and Generative Language Models in Medical Education (66) Simulation (95)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53961, first published .
A Generative Pretrained Transformer (GPT)–Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study

A Generative Pretrained Transformer (GPT)–Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study

A Generative Pretrained Transformer (GPT)–Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study

Authors of this article:

Friederike Holderried1 Author Orcid Image ;   Christian Stegemann–Philipps1 Author Orcid Image ;   Lea Herschbach1 Author Orcid Image ;   Julia-Astrid Moldt1 Author Orcid Image ;   Andrew Nevins2 Author Orcid Image ;   Jan Griewatz1 Author Orcid Image ;   Martin Holderried3 Author Orcid Image ;   Anne Herrmann-Werner1 Author Orcid Image ;   Teresa Festl-Wietek1 Author Orcid Image ;   Moritz Mahling1, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Holderried F, Stegemann–Philipps C, Herrmann-Werner A, Festl-Wietek T, Holderried M, Eickhoff C, Mahling M. A language model-powered simulated patient with automated feedback for history taking: Prospective study (Preprint). JMIR Medical Education 2024 View
  2. Huisman T, Huisman T. Artificial Intelligence in Newborn Medicine. Newborn 2024;3(2):96 View