Researchers create first-of-its-kind index of evolving policy landscape around health care AI
Peer-Reviewed Publication
Updates every hour. Last Updated: 6-Jun-2026 00:15 ET (6-Jun-2026 04:15 GMT/UTC)
New York, NY — [June 1, 2026] —As hospitals and health systems rapidly adopt artificial intelligence (AI) technologies, a new study by investigators at the Icahn School of Medicine at Mount Sinai finds that the policies governing health care AI are expanding quickly but remain fragmented across regulators, governments, and standards organizations. Their findings were published in today’s online issue of npj Digital Medicine [https://doi.org/10.1038/s41746-026-02734-y]. The researchers analyzed 240 health care AI-related policies published between 2016 and 2025 using their newly developed framework called the Health & AI Policy Index. The analysis found that oversight efforts are accelerating worldwide, though no single, unified framework currently exists to guide how AI should be deployed, monitored, and governed in clinical settings.
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