Evaluating Generative AI in Mental Health: Systematic Review of Capabilities and Limitations.

ABSTRACT:

Background

The global shortage of mental health professionals, exacerbated by increasing mental health needs post COVID-19, has stimulated growing interest in leveraging large language models to address these challenges.

objectives

This systematic review aims to evaluate the current capabilities of generative artificial intelligence (GenAI) models in the context of mental health applications.

Methods

A comprehensive search across 5 databases yielded 1046 references, of which 8 studies met the inclusion criteria. The included studies were original research with experimental designs (eg, Turing tests, sociocognitive tasks, trials, or qualitative methods); a focus on GenAI models; and explicit measurement of sociocognitive abilities (eg, empathy and emotional awareness),

SUBMITTER: Wang L 

PROVIDER: S-EPMC12097452 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature