Future of AI and Informatics

Dr. Linda Chu and Dr. Sid Dogra speak with Jessie Gommers and Dr. Ioannis Sechopoulos about their study on how AI decision support influences radiologist performance and visual search in screening mammography. They explore key findings on sensitivity, specificity, reading time, a ... Show More

Dr. Refky Nicola speaks with Dr. Perry Pickhardt about his study comparing CT colonography and multi-targeted stool DNA testing for colorectal cancer screening. They explore differences in sensitivity, specificity, cost-effectiveness, and strategies to optimize detection while mi ... Show More

In this episode, we explore how nonprofit organizations like LBDA are working alongside industry partners to shape the evolving landscape of dementia biomarkers—bridging scientific innovation with real-world care. Featuring an engaging conversation with Dr. Sudhir Sivakumaran, Dr ... Show More

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 pla ... Show More

Dr. Pranav Rajpurkar has been at the forefront of medical AI for his entire career. As a graduate student in computer science at Stanford, he created some of the first AI models for radiology and created a suite of datasets and benchmarks that have been widely used by researchers ... Show More

In this episode of the AI Grand Rounds podcast, Dr. Adam Rodman shares his unique journey from a historian to a physician deeply interested in the intersection of medicine and artificial intelligence. He highlights his unconventional path, driven by an obsession with epistemology ... Show More

Dr. Halley Alexander talks with Dr. Sándor Beniczky about the use of artificial intelligence to accurately interpret routine clinical electroencephalograms. Read the relate article in JAMA Neurology. Visit NPUb.org/Podcast for associated article links. 

In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and Bernard S. Chang, MD, MMSc, a neurologist and dean for medical education at Harvard Medical School, discuss how AI will change medical education, admissions, and teaching the future generation of physici ... Show More

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 comput ... Show More

In this episode, Dr. Judy Wawira Gichoya, Associate Professor in the Department of Radiology and Imaging Sciences at Emory University School of Medicine, details her journey from Kenya to the United States, from interventional radiology to artificial intelligence. Transcript. 

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 un ... Show More

In this episode of the AI Grand Rounds podcast, Dr. Roxana Daneshjou shares her journey from a childhood influenced by early exposure to science to her current role as an assistant professor at Stanford. Her path includes a critical shift during medical school, where her interest ... Show More

In this episode of the AI Grand Rounds podcast, Dr. James Zou shares his personal journey to discovering machine learning during his graduate studies at Harvard. Fascinated by the potential of AI and its application to genomics and medicine, Dr. Zou embarked on a journey that too ... Show More