Expert perspectives on US regulatory approaches to large language models in healthcare

In this second article of a three-article series on interviews with Dr Shantanu Nundy, an advisor in the office of the Commissioner of the US FDA on AI governance and digital health policy, we explore the challenge of regulating large language model (LLM)-enabled medical AI, particularly where it extends beyond the usual boundaries of medical devices and therefore challenges traditional regulatory frameworks.

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Publication Details

Journal
npj Digital Medicine
Published
2026-05-19
DOI
https://doi.org/10.1038/s41746-026-02787-z
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Expert perspectives on US regulatory approaches to large language models in healthcare

npj Digital Medicine
Artificial Intelligence in Healthcare and Education
article

Expert perspectives on US regulatory approaches to large language models in healthcare

article en

Abstract

In this second article of a three-article series on interviews with Dr Shantanu Nundy, an advisor in the office of the Commissioner of the US FDA on AI governance and digital health policy, we explore the challenge of regulating large language model (LLM)-enabled medical AI, particularly where it extends beyond the usual boundaries of medical devices and therefore challenges traditional regulatory frameworks.

npj Digital MedicineVol. 9(1)
Johns Hopkins University (US), Technische Universität Dresden (DE)
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare and Education
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