Performance of large language models ChatGPT and Gemini in child and adolescent psychiatry knowledge assessment
While the results indicate that language models can support knowledge acquisition in child and adolescent psychiatry, limitations remain. Variability in accuracy across different topics, potential biases, and risks of misinterpretation must be carefully considered before implementing these models in clinical decision-making.
Authors
- J Neubauer (ORCID: https://orcid.org/0000-0002-0234-6529)
- Anna Kaiser (ORCID: https://orcid.org/0000-0001-6841-7353)
- Alexander Häge (ORCID: https://orcid.org/0000-0002-3434-2995)
- Leon Lettermann (ORCID: https://orcid.org/0009-0004-7989-9123)
- Tobias Volkert
Institutions
- Heidelberg University (DE)
- Central Institute of Mental Health (DE)
- Heidelberg Engineering (Germany) (DE)
- University Hospital Ulm (DE)
- Heidelberg Institute for Theoretical Studies (DE)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-09-19
- DOI
- https://doi.org/10.1371/journal.pone.0332917
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31