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

Artificial Intelligence (1371) Chatbots and Conversational Agents (531) Generative Language Models Including ChatGPT (311) Clinical Information and Decision Making (1407) Natural Language Processing (693) Development and Evaluation of Research Methods, Instruments and Tools (481) Design, Usability, and Evaluation of Research Instruments, Scales, and Measures (52)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52399, first published .
Potential of Large Language Models in Health Care: Delphi Study

Potential of Large Language Models in Health Care: Delphi Study

Potential of Large Language Models in Health Care: Delphi Study

Authors of this article:

Kerstin Denecke1 Author Orcid Image ;   Richard May2 Author Orcid Image ;   LLMHealthGroup3 ;   Octavio Rivera Romero4, 5 Author Orcid Image
Article Authors Cited by (5) Tweetations (9) Metrics

Journals

  1. Denecke K, Reichenpfader D, Willi D, Kennel K, Bonel H, Nairz K, Cihoric N, Papaux D, von Tengg-Kobligk H. Person-based design and evaluation of MIA, a digital medical interview assistant for radiology. Frontiers in Artificial Intelligence 2024;7 View
  2. Reis F, Lenz C, Gossen M, Volk H, Drzeniek N. Practical Applications of Large Language Models for Health Care Professionals and Scientists. JMIR Medical Informatics 2024;12:e58478 View
  3. Mirzaei T, Amini L, Esmaeilzadeh P. Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications. BMC Medical Informatics and Decision Making 2024;24(1) View
  4. Wang B, Lai J, Cao H, Jin F, Li Q, Tang M, Yao C, Zhang P. Enhancing the interoperability and transparency of real-world data extraction in clinical research: evaluating the feasibility and impact of a ChatGLM implementation in Chinese hospital settings. European Heart Journal - Digital Health 2024 View