AI Grand Rounds, a monthly podcast hosted by NEJM AI editors Arjun (Raj) Manrai, Ph.D. and Andrew Beam, Ph.D., brings you casual conversations with a diverse range of experts exploring the deep issues at the intersection of artificial intelligence, machine learning, and medicine.
Listen to AI Grand Rounds to discover the transformative potential of AI in reshaping clinical practice and healthcare, its impact on the patient experience, and the individuals at the forefront of innovation. Whether you are an AI researcher or a practicing clinician, these conversations will enlighten and surprise you as we venture through this exciting field.
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About the Hosts
Andrew Beam, PhD, 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.
Arjun "Raj" Manrai, PhD, 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.