Browsing: Responsible

James Houston, left, speaks to residents in Richmond, California. (Courtesy of James Houston) Read the full paper here

Artificial intelligence is reshaping population medicine and public health, yet the same systems that generate insight can amplify misleading content and blur where evidence ends and AI fabrication begins. This perspective offers a four-level harm-reduction framework, comprising responsible population selection, data governance, public engagement, and transparent dissemination, illustrated through six case strategies. The aim is…

JD Vance speaks alongside Centers for Medicare and Medicaid Services head Mehmet Oz during a press conference on “anti-fraud initiatives” in Washington, D.C., on May 13, 2026.Photo: Kent Nishimura/AFP via Getty Images

The healthcare industry’s relationship to agentic artificial intelligence has reached an inflection point. The technology is advancing faster than most organizations can adopt it — and in healthcare that gap carries consequences for administrators, clinicians, payers and patients. Unlike other industries where delayed adoption means lost efficiency, in healthcare it can mean delayed care, compromised…