{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T07:03:02Z","timestamp":1780297382800,"version":"3.54.0"},"reference-count":4,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T00:00:00Z","timestamp":1779667200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":7,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["npj Digit. Med."],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Artificial intelligence (AI) policy for health care is expanding in a fragmented landscape. In a January 1, 2026 snapshot of the Health &amp; AI Policy Index (240 policies), we find that transparency-oriented advisory instruments dominate, equity and safety are usually addressed within broader governance requirements, and obligations fall mainly on providers, regulators, and developers. We describe how this health-specific registry can guide oversight decisions by health systems, vendors, and policymakers.<\/jats:p>","DOI":"10.1038\/s41746-026-02734-y","type":"journal-article","created":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T03:53:45Z","timestamp":1779681225000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mapping AI regulation in health care with the Health &amp; AI Policy Index"],"prefix":"10.1038","volume":"9","author":[{"given":"Will","family":"Moss","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin S.","family":"Glicksberg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sabina","family":"Lim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexis","family":"Zebrowski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Girish N.","family":"Nadkarni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,5,25]]},"reference":[{"key":"2734_CR1","doi-asserted-by":"publisher","first-page":"1040022","DOI":"10.3390\/radiation1040022","volume":"1","author":"F Pesapane","year":"2021","unstructured":"Pesapane, F. et al. Legal and regulatory framework for AI solutions in healthcare in EU, US, China, and Russia: new scenarios after a pandemic. Radiation 1, 1040022, https:\/\/doi.org\/10.3390\/radiation1040022 (2021).","journal-title":"Radiation"},{"key":"2734_CR2","unstructured":"World Health Organization. Ethics and Governance of Artificial Intelligence for Health: WHO Guidance (World Health Organization, Geneva, 2021)."},{"key":"2734_CR3","unstructured":"California State Legislature. AB 489, Health care professions: deceptive terms or letters: artificial intelligence. Chapter 615, Statutes of 2025 (2025)."},{"key":"2734_CR4","doi-asserted-by":"crossref","unstructured":"Tabassi, E. Artificial Intelligence Risk Management Framework (AI RMF 1.0). NIST AI 100-1 (National Institute of Standards and Technology, Gaithersburg, MD, 2023).","DOI":"10.6028\/NIST.AI.100-1"}],"container-title":["npj Digital Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41746-026-02734-y","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41746-026-02734-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41746-026-02734-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T06:36:00Z","timestamp":1780295760000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41746-026-02734-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,25]]},"references-count":4,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["2734"],"URL":"https:\/\/doi.org\/10.1038\/s41746-026-02734-y","relation":{},"ISSN":["2398-6352"],"issn-type":[{"value":"2398-6352","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,25]]},"assertion":[{"value":"19 December 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 April 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 May 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"W.M. is the founder and editor of the Health & AI Policy Index (HAPI), a public, noncommercial resource hosted by the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai. Author G.N. is an Associate Editor of NPJ Digital Medicine. G.N. was not involved in the journal\u2019s review of, or decisions related to, this manuscript. The authors report no other competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"413"}}