Radiology Advances Podcast | RSNA
Today: #80 in Science, Mexico on our combined chart.
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Latest episodes
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How reliably can MRI measure heart muscle stiffness?
October 7, 2026 · 10 minThis episode explores a study from The First Affiliated Hospital of Anhui Medical University in Hefei, China, with Mayo Clinic collaborators, testing whether cardiac MR elastography can quantify left ventricular stiffness reliably enough…
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Episode 28: AI Can Speed Up Tumor Assessment on Cancer Followup CT's
September 23, 2026 · 10 minA study from Radboud University Medical Center in the Netherlands compares unassisted, AI-assisted, and expert-assisted RECIST measurements on follow-up body CT's. 23 readers from 11 institutions measured target lesions in 212 cancer…
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Episode 27: AI-accelerated MRI vs. CT for Lung Nodule Detection
September 9, 2026 · 11 minA study from the Technical University of Munich in Germany comparing an AI-accelerated 3D gradient echo MRI sequence (CSAI-GRE) with ultrashort echo time MRI for lung nodule detection, using CT as the reference standard. In 54 patients…
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Episode 26: Standardizing opportunistic osteoporosis screening across different CT scan settings
July 22, 2026 · 10 minThis 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…
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Episode 25: Estimating brain age from MRI to flag accelerated aging and cognitive decline
July 8, 2026 · 10 minThis 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…
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Episode 24: When do we actually need to measure lung shunt fraction before yttrium-90 liver therapy?
June 24, 2026 · 10 minThis 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…
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Episode 23: Predicting severe pancreatitis from admission CT with deep learning
June 10, 2026 · 10 minThis 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…
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Episode 22: Can LLM-generated summaries help patients understand lung cancer screening reports?
May 20, 2026 · 12 minThis episode discusses a study from the University of California, San Francisco in the United States that tested whether GPT-4o-generated patient-friendly summaries improve comprehension of lung cancer screening CT reports. In a…
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Can AI catch cardiomegaly on chest CTs ordered for other reasons?
May 6, 2026 · 14 minThis episode explores a study from the University of Texas Southwestern Medical Center and MD Anderson Cancer Center in the United States that clinically validates an FDA-cleared AI tool for measuring total cardiac volume on non-contrast…
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Episode 20: Minimum Data for Maximum Accuracy
April 22, 2026 · 11 minThis episode explores a study from the Emory Sports Performance and Research Center and the University of Lausanne that determined how few annotated MRI exams are needed to train a reliable deep learning model for thigh muscle…
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Episode 19: Leveraging Federated Learning to Supplement an AI Learning Dataset
April 8, 2026 · 11 minThis episode discusses a study from UCLA in the United States that used federated learning to train a deep learning model for automatic segmentation and quantification of visceral and subcutaneous abdominal fat in children using…
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Episode 18: Ferumoxytol MRI to detect slow gastrointestinal bleeding
March 18, 2026 · 11 minThis episode reviews a proof-of-concept study from Mayo Clinic Minnesota on the use of ferumoxytol-enhanced MRI for detecting gastrointestinal bleeding after a comprehensive conventional workup has been negative. We examine how this blood…

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