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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (66) Viewpoints and Perspectives (484) Chatbots and Conversational Agents (458) Generative Language Models Including ChatGPT (201) Viewpoint and Opinions on Innovation in Medical Education (52)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51183, first published .
Generative Language Models and Open Notes: Exploring the Promise and Limitations

Generative Language Models and Open Notes: Exploring the Promise and Limitations

Generative Language Models and Open Notes: Exploring the Promise and Limitations

Authors of this article:

Charlotte Blease1, 2 Author Orcid Image ;   John Torous2 Author Orcid Image ;   Brian McMillan3 Author Orcid Image ;   Maria Hägglund1, 4 Author Orcid Image ;   Kenneth D Mandl5 Author Orcid Image
Article Authors Cited by (3) Tweetations (11) Metrics

Journals

  1. Schwarz J, Meier-Diedrich E, Neumann K, Heinze M, Eisenmann Y, Thoma S. Reasons for Acceptance or Rejection of Online Record Access Among Patients Affected by a Severe Mental Illness: Mixed Methods Study. JMIR Mental Health 2024;11:e51126 View
  2. Sai S, Yashvardhan U, Chamola V, Sikdar B. Generative AI for Cyber Security: Analyzing the Potential of ChatGPT, DALL-E, and Other Models for Enhancing the Security Space. IEEE Access 2024;12:53497 View
  3. Meier-Diedrich E, Neumann K, Heinze M, Schwarz J. Einstellungen und Erwartungen von psychologischen und ärztlichen Psychotherapeut*innen gegenüber Open Notes: Analyse qualitativer Survey-Antworten. Psychiatrische Praxis 2024 View