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

Generative Language Models Including ChatGPT (414) Depression and Mood Disorders; Suicide Prevention (1466) Digital Health Reviews (1438) Methods and New Tools in Mental Health Research (491) Intentional Self-Harm (110) Digital Health, Telehealth and e-Innovation in Clinical Settings (457) Ethics, Privacy, and Legal Issues (531) mHealth for Wellness, Behavior Change and Prevention (3029)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63126, first published .
Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review

Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review

Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review

Authors of this article:

Glenn Holmes1 Author Orcid Image ;   Biya Tang1 Author Orcid Image ;   Sunil Gupta2 Author Orcid Image ;   Svetha Venkatesh2 Author Orcid Image ;   Helen Christensen1 Author Orcid Image ;   Alexis Whitton1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Glenn Holmes   1 , PhD ;   Biya Tang   1 , PhD ;   Sunil Gupta   2 , PhD ;   Svetha Venkatesh   2 , PhD ;   Helen Christensen   1 , PhD ;   Alexis Whitton   1 , PhD

1 Black Dog Institute, University of New South Wales, Sydney, Randwick, Australia

2 Applied Artificial Intelligence Institute, Deakin University, Melbourne, Australia

Corresponding Author:

  • Alexis Whitton, PhD
  • Black Dog Institute
  • University of New South Wales, Sydney
  • Hospital Road
  • Randwick, 2031
  • Australia
  • Phone: 61 290659046
  • Email: a.whitton@unsw.edu.au