Dr. Lily Peng has driven major medical AI efforts along the long and arduous path from ideation to deployment. From publishing a landmark study in 2016 presenting an AI model to detect diabetic retinopathy in retinal fundus photographs to evaluating deep learning systems in India and Thailand, she has a unique and wide-ranging perspective on both model development and real-world validation. She continues to lead medical AI efforts as a physician-scientist and the Director of Product Management at Verily.

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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 across the world. Now, as a faculty member at Harvard, his group has continued to push the frontier of medical AI across many different specialties including radiology, pathology, and cardiology.

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Dr. Euan Ashley is a pioneer. In 2010, he led the team that conducted the first clinical interpretation of a human genome, and he holds the record for the world’s fastest genomic diagnosis. He even has a Guinness World Record to prove it. In this wide-ranging discussion, Dr. Ashley shares the stories behind these feats, his experiences applying artificial intelligence to genomics and to cardiology, and his views on whether and how AI will change medicine.

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How will AI change clinical practice and healthcare, and how will it impact the patient experience? Who are the people pushing for change and what are their goals? These are just a few of the topics that we hope to explore on NEJM AI Grand Rounds, a new podcast from NEJM Group. This podcast will be an informal conversation with a variety of unique experts exploring the deep issues at the intersection of artificial intelligence and medicine. Whether you are an AI researcher or a practicing clinician, we hope these conversations will enlighten and surprise you as we journey through this very exciting field.

Hi, I’m Raj Manrai. I’m an assistant professor of Biomedical Informatics at Harvard Medical School and a co-host of NEJM AI Grand Rounds. I’m fascinated by both the growing abilities of AI and by medical decision making.  I am excited about an AI enabled future in medicine that rests on strong clinical evidence.

I’m Andy Beam, an assistant professor of epidemiology at the Harvard School of Public Health and cohost. I’ve been interested in AI for as long as I can remember, and I’m so excited that we're starting to see real progress on important medical problems.

NEJM AI Grand Rounds will be launching in mid-December, and we hope you are as excited as we are to have this important discussion. Follow us now on Apple, Spotify, Google, or wherever you find your podcasts.