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

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Bibliographische Detailangaben
Veröffentlicht in:	Journal of Medical Internet Research vol. 27 (2025), p. e63126
1. Verfasser:	Holmes, Glenn
Weitere Verfasser:	Tang, Biya, Gupta, Sunil, Venkatesh, Svetha, Christensen, Helen, Whitton, Alexis
Veröffentlicht:	Gunther Eysenbach MD MPH, Associate Professor
Schlagworte:	Language Computer science Databases Prevention programs Application Trends Clinical standards Social networks Self destructive behavior Suicide Automation Ethics Bidirectionality Chatbots Self injury Artificial intelligence Machine learning Systematic review Social media Confidentiality Bias Natural language processing Linguistics Interdisciplinary aspects Mental health Privacy Large language models Text messaging Suicide prevention Social education Meta-analysis Models Data quality Registration Social security Prevention Mass media Mental health services Training Computer assisted research English language Education Language modeling Research
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