Ontology highlight
ABSTRACT: Background
The deployment of large language models (LLMs) in mental health therapy presents a compelling yet deeply fraught opportunity to address widespread disparities in access to psychological care. Recent empirical evidence reveals that these AI systems exhibit substantial shortcomings when confronted with complex clinical contexts.Methods
This paper synthesizes key findings from a critical analysis of LLMs operating in therapeutic roles and argues for the urgent establishment of comprehensive risk management frameworks, policy interventions, and ethical protocols governing their use.Results
LLMs tested in simulated therapeutic settings frequently exhibited stigmatizing attitudes toward mental health conditions and responded inappropriately to acute clinical sy
SUBMITTER: Ohu FC
PROVIDER: S-EPMC12609870 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature