AI Article Synopsis
- Large language models (LLMs), like ChatGPT, have shown promising applications in psychiatry, aiding in diagnosis, depression management, and suicide risk evaluation.
- A review of 771 articles narrowed it down to 16 relevant studies, highlighting both the beneficial uses and limitations of LLMs in clinical and educational settings.
- Future research is needed to further explore how LLMs could transform traditional roles in mental health care, given their evolving capabilities.
Article Abstract
Background: With their unmatched ability to interpret and engage with human language and context, large language models (LLMs) hint at the potential to bridge AI and human cognitive processes. This review explores the current application of LLMs, such as ChatGPT, in the field of psychiatry.
Methods: We followed PRISMA guidelines and searched through PubMed, Embase, Web of Science, and Scopus, up until March 2024.
Results: From 771 retrieved articles, we included 16 that directly examine LLMs' use in psychiatry. LLMs, particularly ChatGPT and GPT-4, showed diverse applications in clinical reasoning, social media, and education within psychiatry. They can assist in diagnosing mental health issues, managing depression, evaluating suicide risk, and supporting education in the field. However, our review also points out their limitations, such as difficulties with complex cases and potential underestimation of suicide risks.
Conclusion: Early research in psychiatry reveals LLMs' versatile applications, from diagnostic support to educational roles. Given the rapid pace of advancement, future investigations are poised to explore the extent to which these models might redefine traditional roles in mental health care.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11228775 | PMC |
| http://dx.doi.org/10.3389/fpsyt.2024.1422807 | DOI Listing |
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