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NEJM AI Grand Rounds

NEJM Group
Artificial Intelligence
AI In Medicine
Machine Learning
Healthcare
AI In Cardiology
Patient Care
Medical Education
Clinical Trials
Open-Source Medical Record Systems
Stanford University
Echocardiography
Genomics
Large Language Models
Dermatology
AI Fairness
Biotechnology
Synthetic Biology
Personal Genome Project
Interventional Radiology
Gpt-4

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 f... more

PublishesMonthlyEpisodes42Founded3 years ago
Number of ListenersCategories
MedicineHealth & FitnessTechnology

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Artwork for NEJM AI Grand Rounds

Latest Episodes

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 ... more

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 D... more

YouTube

Clinical AI only helps patients if clinicians and health systems trust it. Seth Hain describes how Epic is building foundation models that respect institutional autonomy, minimize burden, and prioritize safety. He discusses scaling laws in structured... more

YouTube

For Dr. Marinka Zitnik, the promise of AI in medicine begins with acknowledging the scale of the problem. Most patients with rare diseases have no approved treatments, and traditional drug development timelines make progress painfully slow. In this c... more

YouTube

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Recent Guests

Kyunghyun Cho
Glen de Vries Professor of Health Statistics and Professor of Computer Science and Data Science at New York University
New York University
Episode: AI’s Next Frontier with Dr. Kyunghyun Cho
Seth Hain
SVP of R&D at Epic
Epic
Episode: Epic’s Approach to AI with Seth Hain
Dr. Marinka Zitnik
Associate professor of biomedical informatics at Harvard Medical School, known for her work on AI in drug discovery.
Harvard Medical School
Episode: Bridging AI and Biology to Tackle Medicine’s Hardest Problems with Dr. Marinka Zitnik
Dr. Laura Zwaan
Associate professor at Erasmus University, expert in cognitive psychology and epidemiology
Erasmus University
Episode: From Hindsight Bias to Machine Bias: Dr. Laura Zwaan on Learning from Mistakes
Jonathan Chen
Associate Professor of Medicine and Biomedical Data Science at Stanford University
Stanford University
Episode: Medicine, Machines, and Magic: Dr. Jonathan Chen on Medical AI
Karandeep Singh
Chief Health AI Officer at UC San Diego Health
UC San Diego Health
Episode: From Clinician to Chief Health AI Officer: A Conversation with Dr. Karandeep Singh
Dr. Jeremy Friese
Radiologist and CEO of Humata Health
Humata Health
Episode: Radiologist Turned CEO: Dr. Jeremy Friese on AI for Prior Authorization
Andy Beam
CTO of Lila Sciences
Lila Sciences
Episode: Can AI Accelerate Science? Dr. Andy Beam on AI’s Next Frontier
Alan Karthikesalingam
A clinician and researcher at DeepMind.
Google DeepMind
Episode: Google’s Efforts to Build Patient-Facing AI: A Conversation with Drs. Alan Karthikesalingam and Anil Palepu

Hosts

Arjun (Raj) Manrai
Co-host with a focus on AI in healthcare and biomedical informatics.
Andrew Beam
Co-host with a focus on AI, medicine, and data-driven healthcare innovation.

Reviews

4.9 out of 5 stars from 114 ratings
  • Fantastic

    Inside scoop on cutting edge thinking in medical AI. You feel like you’re sitting having a coffee with some of the world thought leaders in medical AI. Tends to be a bit more on the ‘computational’ end rather than the clinical, but exactly what I need as a clinical informaticist facing the torrential onslaught of AI. Highly recommended. Thanks guys!!

    Apple Podcasts
    5
    DocDenver
    United States5 months ago
  • Great show, 1 improvement

    Would love to have the links to papers referenced on a show in the show description to save going searching for them. Given it is run by. Medical journal would have expected this :-)

    Apple Podcasts
    5
    rich2011apps
    Australia2 years ago
  • Good show but please use AI to filter out “fillers”

    Enjoyed the podcasts, but in the most recent episode (#13), the interviewee begins with “AND” in nearly every sentence! This really impacted my focusing on the content. I have to skip this episode. This is a podcast on AI. Suggest you make some investments and demonstrate how AI can filter out fillers (AND, LIKE, …) and improve the listener experience of your podcasts! Reputable podcasts or broadcasts do this step to improve listener’s experience.

    Apple Podcasts
    4
    Phan-
    United States2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners appreciate the depth on computational aspects of AI in medicine and real-world datasets.
Guests are often leading thinkers in bioinformatics and healthcare AI, offering practical insights.
Some listeners want more citations or links to referenced papers in show notes.
The show is praised for high-level expertise and engaging host chemistry.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#169
United States/Technology
Apple Podcasts
#175
United Kingdom/Technology
Apple Podcasts
#207
Australia/Technology
Apple Podcasts
#54
South Africa/Technology
Apple Podcasts
#153
Taiwan/Technology
Apple Podcasts
#159
Israel/Technology

Talking Points

Recent interactions between the hosts and their guests.

AI’s Next Frontier with Dr. Kyunghyun Cho
Q: How did your path into AI begin and lead you to biology and medicine?
A mix of chance and opportunity during a difficult period in Europe, a shift from traditional neural nets to machine translation, and a realization that AI principles could be cross-applied to biology, protein design, and healthcare, especially when faced with data and compute constraints.
Bridging AI and Biology to Tackle Medicine’s Hardest Problems with Dr. Marinka Zitnik
Q: What is your ultimate productivity hack?
Every day I write on a blue post-it note, a list of things that I need to accomplish by the end of the day.
Bridging AI and Biology to Tackle Medicine’s Hardest Problems with Dr. Marinka Zitnik
Q: How did you decide where and what to study in graduate school?
I did my undergrad in computer science and mathematics at University of Ljubljana in Slovenia.
Bridging AI and Biology to Tackle Medicine’s Hardest Problems with Dr. Marinka Zitnik
Q: What led you to where you are today?
I became very interested in the opportunity to make a real-world impact.
Bridging AI and Biology to Tackle Medicine’s Hardest Problems with Dr. Marinka Zitnik
Q: Can you please tell us about the training procedure for your own neural network?
I was always a bit of a nerd in mathematics and kind of software and statistics.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About NEJM AI Grand Rounds

What is NEJM AI Grand Rounds about and what kind of topics does it cover?

This show features in-depth conversations with leading researchers, clinicians, and technologists at the intersection of artificial intelligence, machine learning, and medicine. Episodes tend to center on AI applications in healthcare—from real-world datasets and predictive models to AI-assisted diagnosis, drug discovery, pathology, and patient-facing AI tools. Listeners are likely professionals who want actionable insights into how AI can transform clinical practice, research, and healthcare delivery. A standout pattern is the strong emphasis on ethics, trust, human–AI collaboration, and the practical challenges of deploying AI in real-world settings. The format typically blends personal career anecdotes with technical context, making it v... more

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1. NEJM This Week
2. JAMA Medical News
3. Ground Truths
4. Annals On Call Podcast
5. Not Otherwise Specified

How many episodes of NEJM AI Grand Rounds are there?

NEJM AI Grand Rounds launched 3 years ago and published 42 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on NEJM AI Grand Rounds?

Recent guests on NEJM AI Grand Rounds include:

1. Kyunghyun Cho
2. Seth Hain
3. Dr. Marinka Zitnik
4. Dr. Laura Zwaan
5. Jonathan Chen
6. Karandeep Singh
7. Dr. Jeremy Friese
8. Andy Beam

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