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

Journal: Journal of medical Internet research
PMID: 39847414

Abstract

BACKGROUND: Prevention of suicide is a global health priority. Approximately 800,000 individuals die by suicide yearly, and for every suicide death, there are another 20 estimated suicide attempts. Large language models (LLMs) hold the potential to enhance scalable, accessible, and affordable digital services for suicide prevention and self-harm interventions. However, their use also raises clinical and ethical questions that require careful consideration.

Authors

  • Glenn Holmes
    Black Dog Institute, University of New South Wales, Sydney, Randwick, Australia.
  • Biya Tang
    Black Dog Institute, University of New South Wales, Sydney, Randwick, Australia.
  • Sunil Gupta
    Applied Artificial Intelligence Institute, Deakin University, Melbourne, Australia.
  • Svetha Venkatesh
    Applied Artificial Intelligence Institute, Deakin University, Melbourne, Australia.
  • Helen Christensen
    Black Dog Institute, University of New South Wales, Sydney, Randwick, Australia.
  • Alexis Whitton
    Black Dog Institute, University of New South Wales, Sydney, Randwick, Australia.

Keywords

External Resources

Popular Topics
Recent Journals