Sherri Rose, Ph.D. is an Associate Professor at Stanford University in the Center for Health Policy and Center for Primary Care and Outcomes Research. She speaks with us about detangling causation from correlation, measuring the effectiveness of different interventions, and influencing real-world health policy.

Pranav and Adriel first give an overview on risk adjustment, where medicine, health policy, and financial incentives interact in complex ways, before the interview, which starts at 12:04. If you like what you hear, let a friend know, subscribe wherever you get your podcasts, and connect with us on Twitter @AIHealthPodcast.

Varun Ganapathi, Ph.D. is co-founder and CTO at AKASA. He speaks with us about surprise bills and other medical paperwork problems and explores how AI can make healthcare billing less painful for all of us.

If you like what you hear, let a friend know, subscribe wherever you get your podcasts, and connect with us on Twitter @AIHealthPodcast.

Tom Simonite is a senior writer for WIRED covering AI. Previously, he was San Francisco bureau chief at MIT Technology Review, and he wrote and edited technology coverage at New Scientist magazine in London. He speaks with us about his writing process and the challenges of keeping the general public informed about AI and health.

If you like what you hear, let a friend know, subscribe wherever you get your podcasts, and connect with us on Twitter @AIHealthPodcast.

Dr. Noémie Elhadad is an Associate Professor of Biomedical Informatics, affiliated with Computer Science and the Data Science Institute at Columbia University. She speaks with us about her work on using AI and crowdsourced data to study menstrual health. More broadly, she discusses opportunities and challenges around crowdsourced health information, which can help researchers learn about otherwise understudied conditions and efficiently collect otherwise hard-to-access medical data.

Pranav and Adriel first give an overview of endometriosis and Professor Elhadad's work with self-tracked data. The interview with Professor Elhadad starts at 8:25. If you like what you hear, let a friend know, subscribe wherever you get your podcasts, and connect with us on Twitter @AIHealthPodcast.

Zak Kohane, M.D., Ph.D., is the Chair of the Department of Biomedical Informatics at Harvard Medical School. He speaks with us about sharing medical data and using AI to gain actionable insights from it.

Pranav and Adriel first give an overview on the rules and standards that shape medical data sharing today. The interview with Professor Kohane starts at 12:21. If you like what you hear, let a friend know, subscribe wherever you get your podcasts, and connect with us on Twitter @AIHealthPodcast.

Vivian S. Lee, M.D., Ph.D., M.B.A. is the President of Health Platforms at Verily Life Sciences and a senior lecturer at Harvard Medical School. She speaks with us about her recent book, The Long Fix: Solving America's Health Care Crisis with Strategies that Work for Everyone, and explores how AI can make the US healthcare system more efficient and effective.

Pranav and Adriel first give an overview on how financial incentives shape healthcare. The interview with Dr. Lee starts at 12:05. If you like what you hear, let a friend know, subscribe wherever you get your podcasts, and connect with us on Twitter @AIHealthPodcast.

This is the last episode of Season 1. Join us in the Fall for Season 2, and in the meantime, please take our brief survey! http://bit.ly/theaihealthpodcast

Dr. Daphne Koller is CEO and Founder of insitro, a machine-learning enabled drug discovery company. She has been a Stanford CS Professor, co-founder of Coursera and Engageli, one of TIME Magazine’s 100 influential people, and a MacArthur Fellow. She speaks with us about how insitro uses AI and induced pluripotent stem cells to make drug discovery more efficient and successful.

Pranav and Adriel first give an overview on pluripotent stem cells. The interview with Dr. Koller starts at 5:41. If you like what you hear, let a friend know, subscribe wherever you get your podcasts, and connect with us on Twitter @AIHealthPodcast.

Bakul Patel is the director of the FDA's Digital Health Center of Excellence. In this interview, he shares his perspective on approving AI systems. He discusses how the FDA is evolving to keep up with the medical AI market, and he addresses key ethical concerns such as equity and access.

Pranav and Adriel first give an overview on the FDA's premarket pathways for medical devices. The interview with Bakul starts at 8:56. If you like what you hear, let a friend know, subscribe wherever you get your podcasts, and connect with us on Twitter @AIHealthPodcast.

Harlan Krumholz is a cardiologist and scientist at Yale University and Yale New Haven Hospital. He is the Harold H. Hines, Jr. Professor of Medicine and is the founder and Director of the Yale Center for Outcomes Research and Evaluation (CORE), one of the nation’s most prominent groups working to improve health and health care. In this interview, he discusses how AI can improve medical outcomes and how engineers can better harness its power by interpreting both inputs and outputs with more nuance.

Pranav and Adriel first give an overview on big data and how ready medicine is to handle big data. The interview with Dr. Krumholz starts at 6:33. If you like what you hear, let a friend know, subscribe wherever you get your podcasts, and connect with us on Twitter @AIHealthPodcast.

Mike Coyle is the CEO of iRhythm, and Mark Day is the Executive Vice President of Research & Development of iRhythm, a digital healthcare company redefining the way cardiac arrhythmias are clinically diagnosed by combining wearable biosensing technology with cloud-based data analytics and machine learning capabilities. Together, they speak with us about how AI can help diagnose heart problems and enable longer-term cardiac monitoring. They discuss iRhythm's technology, its business strategy, and the power of AI-human collaboration.

Pranav and Adriel first give an overview on heart arrhythmias and ambulatory ECGs. The interview with Mike and Mark starts at 6:42. If you like what you hear, let a friend know, subscribe wherever you get your podcasts, and connect with us on Twitter @AIHealthPodcast.