Effectiveness of generative AI-large language models’ recognition of veteran suicide risk: a comparison with human mental health providers using a risk stratification model

These findings highlight the need for further research into optimizing GAI-LLMs for consistent and reliable use in clinical settings, ensuring they complement rather than replace human expertise.

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Publication Details

Journal
Frontiers in Psychiatry
Published
2025-04-03
DOI
https://doi.org/10.3389/fpsyt.2025.1544951
Citations
6
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
13.84
Controls
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article

Effectiveness of generative AI-large language models’ recognition of veteran suicide risk: a comparison with human mental health providers using a risk stratification model

Sean Lauderdale, Sara Tomlinson, Hela Desai, Randee Schmitt et al.
6 citations
Frontiers in Psychiatry
Suicide and Self-Harm Studies
13.84
article

Effectiveness of generative AI-large language models’ recognition of veteran suicide risk: a comparison with human mental health providers using a risk stratification model

Sean Lauderdale, Sara Tomlinson, Hela Desai, Randee Schmitt, N Dalal, Breanna Wuckovich
article en
6 citations

Abstract

These findings highlight the need for further research into optimizing GAI-LLMs for consistent and reliable use in clinical settings, ensuring they complement rather than replace human expertise.

Frontiers in PsychiatryVol. 16
University of Houston - Clear Lake (US)
Openalex Percentile: Top 1%
Suicide and Self-Harm Studies
13.84
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