Translational AI in Medicine: Unlocking AI’s ...

Clinical AI only helps patients if clinicians and health systems trust it. Seth Hain describes how Epic is building foundation models that respect institutional autonomy, minimize burden, and prioritize safety. He discusses scaling laws in structured medical data, cautious deploy ...  Show more

For Dr. Marinka Zitnik, the promise of AI in medicine begins with acknowledging the scale of the problem. Most patients with rare diseases have no approved treatments, and traditional drug development timelines make progress painfully slow. In this conversation, she describes how ...  Show more

The pulse of medical technology has quickened in recent years, bringing forth a new age in healthcare. Medical providers are working in partnership with artificial intelligence technology to reshape everything from patient diagnostics to treatment plans, operating with a precisio ...  Show more

The capabilities and risks of various types of artificial intelligence (AI) are markedly different. JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews author Michael Howell, MD, MPH, chief clinical officer at Google, to discuss how AI has evolved and how to ...

Can AI/machine learning-driven digital phenotyping facilitate global personalized medicine? In this Q&A, Vikram Patel, MBBS, PhD, the Paul Farmer Professor and chair of the Department of Global Health and Social Medicine at Harvard Medical School, joins JAMA Editor in Chief Ki ...

Prepare to be intrigued by the groundbreaking intersection of artificial intelligence (AI) and multiple sclerosis care! By combing through extensive databases, including genetic information and real patient records, AI can forecast with remarkable accuracy th ...