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

Journals

  1. Ni Y, Jia F. A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education. Healthcare 2025;13(10):1205 View
  2. Greaves J, Colucci E. Crisis-line workers’ perspectives on AI in suicide prevention: a qualitative exploration of risk and opportunity. BMC Public Health 2025;25(1) View
  3. Sherekar P, Mehta M. Harnessing technology for hope: a systematic review of digital suicide prevention tools. Discover Mental Health 2025;5(1) View
  4. Nadkarni A, Kroll D, Silbersweig D. After Patient Suicide: Fostering a Culture of Patient Safety and Clinician Well-Being to Improve Quality of Care. Harvard Review of Psychiatry 2025;33(4):239 View
  5. Cui X, Gu Y, Fang H, Zhu T. Development and evaluation of LLM-based suicide intervention chatbot. Frontiers in Psychiatry 2025;16 View

Conference Proceedings

  1. Azevedo J, de Oliveira A, Silva F, Coutinho L, Teles A. 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). Harnessing Generative Llms to Detect and Explain Suicidal Ideation in Brazilian Portuguese Texts View