AI Frontiers with James Zou: The Future of Mu...

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 ...

Clinician-led healthcare AI company Harrison.ai has built an AI system that serves as “spell checker” for radiologists — flagging critical findings to improve the speed and accuracy of radiology image analysis, reducing misdiagnoses. In the latest episode of NVIDIA’s AI Podcast, ...  Show more

Generative AI-based models can not only learn and understand natural languages — they can learn the very language of nature itself, presenting new possibilities for scientific research. Anima Anandkumar, Bren Professor at Caltech and senior director of AI research at NVIDIA, was ...  Show more

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 ...