From Theory to Therapy: The Evolution of AI i...

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

In today's episode of Tech Talks Daily, we're diving deep into the world of artificial intelligence with Ayesha Iqbal. She is an IEEE Senior Member and Engineering Trainer at Manufacturing Technology Centre, UK. Throughout our discussion, Ayesha uncovers AI's profound influence a ...  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 ...

AI has potential to meaningfully improve patient care. How will AI advances help clinicians focus on the best use of their time and talents? In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Suchi Saria, PhD, MSc, an associate professor in com ...