From Single Neurons to AI Systems: The Evolut...

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 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 augment radiological processes, imaging analysis, and diagnosis? In this Q&A, Saurabh Jha, MBBS, MRCS, MS, an associate professor of radiology at the University of Pennsylvania, joins JAMA's Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, to discuss how AI could ...

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 ...

The potential of new AI tools is unarguable, but the fundamental question remains: How much do you trust AI? In this episode, which originally aired as part of our Top of Mind video series, Gartner Distinguished VP Analyst Mary Mesaglio explores both our trust and distrust of dig ...  Show more