Comparing Generative Artificial Intelligence and Mental Health Professionals for Clinical Decision-Making With Trauma-Exposed Populations: Vignette-Based Experimental Study

GAI models demonstrate some evidence of trauma-related diagnostic overshadowing bias, yet the degree of bias varied by task and model. Moreover, GAI models generally demonstrated less bias than MHPs in this experimental paradigm. These findings highlight the importance of understanding GAI biases in mental health care. More research into bias reduction strategies and responsible implementation of GAI models in mental health care is needed.

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Publication Details

Journal
JMIR Mental Health
Published
2025-09-10
DOI
https://doi.org/10.2196/80801
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
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article

Comparing Generative Artificial Intelligence and Mental Health Professionals for Clinical Decision-Making With Trauma-Exposed Populations: Vignette-Based Experimental Study

Sabahat Sami, Katherine Wislocki, Alyson K. Zalta, Gahl Liberzon
3 citations
JMIR Mental Health
Artificial Intelligence in Healthcare and Education
1.96
article

Comparing Generative Artificial Intelligence and Mental Health Professionals for Clinical Decision-Making With Trauma-Exposed Populations: Vignette-Based Experimental Study

Sabahat Sami, Katherine Wislocki, Alyson K. Zalta, Gahl Liberzon
article en
3 citations

Abstract

GAI models demonstrate some evidence of trauma-related diagnostic overshadowing bias, yet the degree of bias varied by task and model. Moreover, GAI models generally demonstrated less bias than MHPs in this experimental paradigm. These findings highlight the importance of understanding GAI biases in mental health care. More research into bias reduction strategies and responsible implementation of GAI models in mental health care is needed.

JMIR Mental HealthVol. 12
University of California, Irvine (US), Irvine University (US)
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
1.96
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