Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Advertisement
Beyond chatbots
Nature Machine Intelligence (2026)
Psychiatric disorders are heterogeneous, and care depends on interpreting unstructured longitudinal narratives, creating variability that hinders standardization. A study now shows that a psychiatry-specific large language model (LLM) may help clinicians to deliver more consistent, high-quality care.
This is a preview of subscription content, access via your institution
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
£17.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
£99.00 per year
only £8.25 per issue
Rent or buy this article
Prices vary by article type
from$1.95
to$39.95
Prices may be subject to local taxes which are calculated during checkout
Hua, Y. et al. NPJ Digit. Med. 8, 230 (2025).
Article Google Scholar
Wang, R. et al. Nat. Mach. Intell. 8, 690–707 (2026).
Article Google Scholar
Stein, D. J. et al. World Psychiatry 21, 393–414 (2022).
Article Google Scholar
Gorelik, A. J., Radin, A. S., Bogdan, R. & Stamatis, C. A. NEJM AI 2, AIp2500045 (2025).
Article Google Scholar
Kim, J. et al. NPJ Digit. Med. 8, 580 (2025).
Article Google Scholar
Chen, Z. S., Schultebraucks, K. & Wu, W. Transl. Psychiatry 16, 136 (2026).
Article Google Scholar
Bean, A. M. et al. Nat. Med. 32, 609–615 (2026).
Article Google Scholar
Sharma, D. et al. NPJ Digit. Med. 9, 252 (2026).
Article Google Scholar
Download references
J.K. is supported by the National Institutes of Health (NIH; grant K01MH137386).
Stanford Center for Digital Health, Stanford School of Medicine, Stanford, CA, USA
Jiyeong Kim
Department of Psychiatry and Behavioral Sciences, Stanford School of Medicine, Stanford, CA, USA
Carolyn I. Rodriguez
PubMed Google Scholar
PubMed Google Scholar
Correspondence to Jiyeong Kim.
The authors have no competing interests.
Reprints and permissions
Kim, J., Rodriguez, C.I. Towards AI-augmented decision making in psychiatry. Nat Mach Intell (2026). https://doi.org/10.1038/s42256-026-01256-2
Download citation
Published:
Version of record:
DOI: https://doi.org/10.1038/s42256-026-01256-2
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
Advertisement
Nature Machine Intelligence (Nat Mach Intell)
ISSN 2522-5839 (online)
© 2026 Springer Nature Limited
Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.
