Unregulated large language models produce medical device-like output
Large language models (LLMs) show considerable promise for clinical decision support (CDS) but none is currently authorized by the Food and Drug Administration (FDA) as a CDS device. We evaluated whether two popular LLMs could be induced to provide device-like CDS output. We found that LLM output readily produced device-like decision support across a range of scenarios, suggesting a need for regulation if LLMs are formally deployed for clinical use.
Authors
- Genevieve P. Kanter (ORCID: https://orcid.org/0000-0002-3044-7829)
- Gary E. Weissman (ORCID: https://orcid.org/0000-0001-9588-3819)
- Toni Mankowitz
Institutions
- University of Southern California (US)
- Department of Health Services (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- npj Digital Medicine
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1038/s41746-025-01544-y
- Citations
- 38
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 24.86
Funders
- National Institute of General Medical Sciences