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Radiology Advances Podcast | RSNA

The Radiological Society of North America
Artificial Intelligence
Deep Learning
Radiology Advances
MRI
Breast Cancer Screening
Mammography
Google Research
Lung Shunt Fraction
Pulmonary Embolism
Dual-Energy CT
Hepatic Transarterial Radioembolization
Yttrium-90
Hepatic Steatosis
Robotic Systems
Mrannotator
Contrast Enhanced CT
Hepatocellular Carcinomas
Knee Imaging
Choroid Plexus
Magnetic Resonance Imaging

A podcast showcasing articles from the Radiology Advances journal. Podcast Team Lead Podcast Editor- Diego Lopez-Gonzalez, MD, MPH, Trainee Editors- Nelson Gil, MD, PhD and Luca Salhöfer, MD

PublishesTwice monthlyEpisodes26Foundeda year ago
Number of ListenersCategories
Health & FitnessScienceMedicine

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Artwork for Radiology Advances Podcast

Latest Episodes

This episode explores a study from Seoul National University Bundang Hospital in South Korea on opportunistic osteoporosis screening, which reads bone density off the spine in routine chest CT scans. Using nearly six hundred patients each scanned at ... more

This episode discusses a study from Johns Hopkins University in the United States that introduces a brain age predictor from MRI, designed to stay accurate across different scanners and cohorts. The model estimates a person's age from a brain scan to... more

This episode covers a study from the Mallinckrodt Institute of Radiology at Washington University in St. Louis evaluating whether patient-specific lung shunt fraction measurement is necessary for every yttrium-90 selective internal radiation therapy ... more

This episode discusses a study from New York University evaluating whether deep learning can predict acute pancreatitis severity from contrast-enhanced CT acquired within 24 hours of admission. Using self-supervised pretraining on about 12,000 unlabe... more

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Recent Guests

Matthew Alan Thomas
Author of the study and presenter in the episode
Mallinckrodt Institute of Radiology, Washington University in St. Louis
Episode: Episode 24: When do we actually need to measure lung shunt fraction before yttrium-90 liver therapy?
Ryan Lee
Author of the study and presenter in the episode
Mallinckrodt Institute of Radiology, Washington University in St. Louis
Episode: Episode 24: When do we actually need to measure lung shunt fraction before yttrium-90 liver therapy?
Christopher Malone
Author of the study and presenter in the episode
Mallinckrodt Institute of Radiology, Washington University in St. Louis
Episode: Episode 24: When do we actually need to measure lung shunt fraction before yttrium-90 liver therapy?
Yanqi Xu
Lead author
New York University (NYU)
Episode: Episode 23: Predicting severe pancreatitis from admission CT with deep learning
Brigida Teuch
Author
New York University
Episode: Episode 23: Predicting severe pancreatitis from admission CT with deep learning
Chenchuan Huang
Author
New York University
Episode: Episode 23: Predicting severe pancreatitis from admission CT with deep learning
Yiqiu Shen
Author
New York University
Episode: Episode 23: Predicting severe pancreatitis from admission CT with deep learning
Angelo Scanio
Researcher on the AI-enabled cardiac volumetry study
UT Southwestern Medical Center
Episode: Episode 21: Can AI catch cardiomegaly on chest CTs ordered for other reasons?
Christopher Fan
Researcher on the AI-enabled cardiac volumetry study
UT Southwestern Medical Center; now at University of Texas MD Anderson Cancer Center
Episode: Episode 21: Can AI catch cardiomegaly on chest CTs ordered for other reasons?

Hosts

Diego Lopez-Gonzalez
Host/Team Lead Podcast Editor for Radiology Advances Podcast; extensive involvement in Radiology Advances-related content
Nelson Gil
Trainee Editor contributing to podcast content on radiology and imaging topics

Chart Rankings

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Apple Podcasts
#112
India/Science
Apple Podcasts
#159
Argentina/Science

Talking Points

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Episode 23: Predicting severe pancreatitis from admission CT with deep learning
Q: How did the AI model perform compared with traditional scores on external data?
The AI model achieved an AUC of about 0.89 for both severe and mild pancreatitis on the Hungarian external cohort, outperforming MCTSI, and when combined with BISAP and MCTSI, the AUC improved further to around 0.913.
Episode 23: Predicting severe pancreatitis from admission CT with deep learning
Q: Why is severity prediction in acute pancreatitis so challenging?
Because severity definitions rely on complications that develop over 2–3 days, leaving a gap where early intervention could matter most; existing scores have limited, variable accuracy, and imaging alone may miss early signals without comprehensive data integration.

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Frequently Asked Questions About Radiology Advances Podcast

What is Radiology Advances Podcast about and what kind of topics does it cover?

This show centers on advances in radiology imaging, with a strong emphasis on AI-assisted segmentation, deep learning for faster MRI, automated lesion and organ delineation, and safer, more efficient imaging workflows. Across recent episodes, the discussion repeatedly highlights how novel algorithms and hardware-powered techniques improve accuracy, speed, and patient safety—from synthetic contrast MRI and automated hemorrhage segmentation to faster neuro and knee imaging and robotic assistance in CT-guided procedures. A standout theme is the blend of cutting-edge research with practical clinical implications, including human-in-the-loop approaches, regulatory considerations, and workflow improvements that appeal to radiology departments, re... more

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Radiology Advances Podcast launched a year ago and published 26 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 Radiology Advances Podcast?

Recent guests on Radiology Advances Podcast include:

1. Matthew Alan Thomas
2. Ryan Lee
3. Christopher Malone
4. Yanqi Xu
5. Brigida Teuch
6. Chenchuan Huang
7. Yiqiu Shen
8. Angelo Scanio

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