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NEJM AI Grand Rounds

Artificial intelligence has transformed our consumer lives. And it's being increasingly applied to medicine. Medicine presents unique, technical, ethical, and legal questions around both the development and the sustainable deployment of AI. NEJM AI Grand Rounds, a podcast from NEJM Group, explores these topics while providing a forum to discuss evidence and resource sharing alongside debate about the best approaches to integrating AI within the healthcare system. NEJM AI, a new journal in medical artificial intelligence and machine learning, is coming soon from NEJM Group.

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About the hosts

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Andrew Beam, PhD, is a co-host of the NEJM Group podcast NEJM AI Grand Rounds. Andrew is a longtime AI optimist and is deeply committed to realizing an AI-enabled health care system that works for everyone. Andrew is an assistant professor in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health, with a secondary appointment in the Department of Biomedical Informatics at Harvard Medical School. His lab develops new artificial intelligence methods by combining large-scale deep-learning models with techniques from causal inference to improve the safety and robustness for medical applications. He has a particular interest in using AI to improve neonatal and perinatal outcomes. Outside of the lab, Andrew lives in Waltham, MA, with his wife, Kristyn, a neonatologist and frequent collaborator. They are currently focused on training their largest neural net to date: a three-year-old named Hallie whose entropy maximization algorithm means there is never a shortage of things to clean up!

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Arjun “Raj” Manrai, PhD, is a co-host of the NEJM Group podcast NEJM AI Grand Rounds. Raj is an assistant professor in the Department of Biomedical Informatics at Harvard Medical School, where he directs a research lab that works broadly on machine learning and statistical approaches to improve medical decision-making. Focus areas for his group include the clinical use of genomic data and blood laboratory biomarkers, inherited heart disease and kidney disease, decision-making across populations, and reproducibility challenges for medical AI. Raj took the scenic route to medical AI, earning an AB in physics from Harvard College, followed by a PhD in bioinformatics and integrative genomics from the Harvard-MIT Division of Health Sciences and Technology. He resides in the Boston area, and outside work he can usually be found losing home dance competitions to his two young daughters.

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Sign up for the NEJM AI This Week Newsletter

Stay on the cutting edge of developments in artificial intelligence and machine learning in medicine by signing up for NEJM AI's This Week newsletter.

Featuring:

Highlights from recently published articles in NEJM AI
Learn when new episodes of this podcast, NEJM AI Grand Grounds, become available

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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.

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Transcript.