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NEJM AI Grand Rounds: Daily Summaries Delivered
by NEJM Group
NEJM AI Grand Rounds, hosted by Arjun (Raj) Manrai, Ph.D. and Andrew Beam, Ph.D., features informal conversations with a variety of unique experts exploring the deep issues at the intersection of artificial intelligence, machine learning, and medicine. You’ll learn how AI will change clinical practice and healthcare, how it will impact the patient experience, and about the people who are pushing for innovation. Whether you are an AI researcher or a practicing clinician, these conversations will enlighten and surprise you as we journey through this very exciting field. Produced by NEJM Group.
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- 2 weeks ago56 min
Abridge’s Dr. Michal Nedoszytko on Physicians Who Build Software
Dr. Michał Nedoszytko, clinician scientist at Abridge and interventional cardiologist, has spent two decades building software alongside clinical practice. He explains how AI can help physicians gather better information before an encounter, improve the quality of conversations with patients, and prototype solutions to problems that clinicians experience every day. Nedoszytko argues that medical training gives physicians lived knowledge that they can bring to building software. Yet he draws a firm distinction between making software and making software safe. In regulated clinical environments, engineers, privacy protections, and rigorous delivery remain indispensable. As AI assumes more analytical and administrative work, he hopes medicine becomes more grounded in its human purpose: clinicians closer to patients, present in the moment, rather than focused on screens and documentation. Transcript.
- Sep 16, 202643 min
Beyond the Hype: Dr. Xiao Liu on Evaluating Medical AI
The promise of medical AI is not simply better performance — it is better care grounded in evidence patients and clinicians can trust. Dr. Xiao Liu, a clinician and medical AI researcher affiliated with the University of Birmingham and Microsoft AI, has spent her career asking what rigorous evaluation should look like as new technologies move from publications into practice. She describes reporting guidelines as tools for transparency rather than prescriptions and explains why seeing product development from inside industry changed her understanding of implementation. Looking ahead, Liu imagines a medical profession in which readily available knowledge shifts physicians toward a more interpersonal role: accompanying patients through uncertainty, deterioration, treatment failure, recovery, and life-changing diagnoses. At the same time, she sees AI opening new scientific possibilities by revealing biomarkers, disease phenotypes, and treatment-response patterns that current medical categories may miss. The challenge is to preserve rigor without letting familiar methods prevent medicine from learning something genuinely new. Transcript.
- Aug 19, 202659 min
Dr. Suchi Saria on Building AI That Changes Care
A patient can deteriorate while the warning signs remain buried in a noisy electronic record. Dr. Suchi Saria, Founder and CEO of Bayesian Health and a faculty member at Johns Hopkins University, has spent her career trying to surface those signals sooner. She explains why a strong retrospective model is only the starting point — and why prospective validation, workflow integration, physician adoption, monitoring, and financial sustainability determine whether clinical AI ever reaches patients. Her work on early sepsis recognition became personal after she lost her nephew to the condition, turning an academic agenda into an urgent effort to prevent failures to rescue. Saria also challenges the current center of gravity in health care AI: tools increasingly prepare for visits, transcribe conversations, and support billing, while comparatively few directly help clinicians care for patients. She envisions a third modality of medicine alongside drugs and devices — rigorous, software-based interventions that identify when to act, what to do, and for whom. Transcript.
- Jul 15, 202645 min
Weave’s Brandon Rice on Rebuilding Drug Regulation with AI
Brandon Rice believes that improving health care sometimes means improving the systems behind it. Through his work at Weave, he focuses on modernizing the regulatory infrastructure that helps bring new medicines to market. He discusses the challenge of organizing scientific knowledge, communicating with regulators, and navigating processes that can span more than a decade. His vision is that AI can reduce administrative burden while preserving the rigor required for patient safety and scientific progress. Transcript.
- Jun 17, 202645 min
OpenAI’s Karan Singal on HealthBench and the Future of Medical AI
Medical expertise has always been scarce. Dr. Karan Singal believes AI can help change that. Drawing on his work at OpenAI and earlier efforts behind Med‑PaLM, he discusses how clinicians and patients are already using AI to answer questions, support decisions, and navigate care. He argues that the future of health AI is not only about improving model performance, but also about helping people advocate for themselves more effectively. Through HealthBench and ChatGPT for Clinicians, his team is exploring how to make these systems safer, more useful, and more trustworthy. The result is a vision of health care where expertise becomes more accessible without losing sight of clinical responsibility. Transcript.
- May 20, 20261h 5m
The OpenEvidence Episode: Dr. Travis Zack on the Future of Clinical Evidence
Dr. Travis Zack, Chief Medical Officer of OpenEvidence, takes us behind the scenes of the start and growth of the company, and brings a clinician’s perspective to one of medicine’s hardest questions: how should artificial intelligence support decision-making? In this episode, he emphasizes that reasoning—not just correctness—defines good care, and that evidence must be contextual, accessible, and usable. He explores how physicians use AI to reduce uncertainty, why global constraints challenge the idea of a single “right answer,” and how trust depends on transparent use of medical literature. For clinicians navigating complex decisions, this conversation highlights both the promise and the limits of AI—and the enduring importance of human judgment. Transcript.
- Apr 15, 202651 min
Doctronic’s Autonomous AI with Dr. Byron Crowe
Doctronic CMO Dr. Byron Crowe describes how administrative complexity can interfere with timely, effective treatment, and how AI may help address those challenges. Crowe discusses Doctronic’s use of autonomous AI to renew prescriptions, arguing that this application can streamline care while maintaining clinical oversight. For physicians, this shift raises important questions about workflow, responsibility, and patient engagement. Crowe emphasizes that the goal is not automation for its own sake, but more reliable and accessible care. As these tools evolve, their impact will depend on how thoughtfully they are integrated into clinical practice. Transcript.
- Mar 18, 20261h 7m
AI’s Next Frontier with Dr. Kyunghyun Cho
Dr. Kyunghyun Cho is a leading AI researcher best known for co-authoring a landmark 2014 paper that introduced neural machine translation. In this episode, he discusses his wide-ranging career spanning fundamental AI research, co-founding Prescient Design (acquired by Genentech), and driving applications of AI in health care. For clinicians, Cho’s core message is pragmatic: AI should help health care run better. After years of work at NYU Langone, he reframed AI in medicine from solving rare diagnostic puzzles to improving operational prediction at scale. Cho emphasizes purpose‑built data, careful fine‑tuning, and regulatory accountability. His perspective connects technical rigor with system stewardship—and insists that patient voices must be present in AI governance. Transcript.
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About NEJM AI Grand Rounds
NEJM AI Grand Rounds, hosted by Arjun (Raj) Manrai, Ph.D. and Andrew Beam, Ph.D., features informal conversations with a variety of unique experts exploring the deep issues at the intersection of artificial intelligence, machine learning, and medicine. You’ll learn how AI will change clinical practice and healthcare, how it will impact the patient experience, and about the people who are pushing for innovation. Whether you are an AI researcher or a practicing clinician, these conversations will enlighten and surprise you as we journey through this very exciting field. Produced by NEJM Group.
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