By Katie Palmer and Casey Ross
Nov. 19, 2024
Robert Califf has made no secret of the Food and Drug Administration’s struggles to regulate generative AI. Large language models and their application to health care “provide a massive example of a technology with novel needs,” FDA commissioner Califf said in an address earlier this year to the Coalition for Health AI.
This week, the agency will turn toward that challenge, focusing the first-ever meeting of its Digital Health Advisory Committee on the question of whether and how generative AI should be regulated by the FDA. Over two full days, the committee will discuss questions about how to evaluate the performance of generative AI-enabled devices before and after they reach patients, and the risks that come with the technology.
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Why is it so hard to regulate generative AI products in medicine? To start, FDA officials wrote in an executive summary shared before the meeting, it’s hard to know when it qualifies as a device under the agency’s definitions.
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Subscribe Log In Artificial intelligence, FDA, health tech, Policy, STAT+ Submit a correction requestReprintsKatie Palmer
Health Tech Correspondent
Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses.
Casey Ross
Chief Investigative Reporter, Data & Technology
Casey Ross covers the use of artificial intelligence in medicine and its underlying questions of safety, fairness, and privacy.
Tech is transforming health care and life sciences. Our original reporting is here to keep you ahead of the curve.