NEJM AI Grand Rounds NEJM Group

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.

In this exciting new podcast from NEJM Group, hosts Arjun (Raj) Manrai, Ph.D. and Andrew Beam, Ph.D. have informal conversations with a variety of unique experts exploring the deep issues at the intersection of artificial intelligence, machine learning, and medicine. Coming mid-December.