Large language models outperform mental and medical health care professionals in identifying obsessive-compulsive disorder.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 39030292.
- Also identified by DOI 10.1038/s41746-024-01181-x and PMC identifier 11271579.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Despite the promising capacity of large language model (LLM)-powered chatbots to diagnose diseases, they have not been tested for obsessive-compulsive disorder (OCD). We assessed the diagnostic accuracy of LLMs in OCD using vignettes and found that LLMs outperformed medical and mental health professionals. This highlights the potential benefit of LLMs in assisting in the timely and accurate diagnosis of OCD, which usually entails a long delay in diagnosis and treatment.