Radiology Advances Podcast | RSNA
The Radiological Society of North America
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Episode 23: Predicting severe pancreatitis from admission CT with deep learning
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…
Episode 22: Can LLM-generated summaries help patients understand lung cancer screening reports?
This 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…
Episode 21: Can AI catch cardiomegaly on chest CTs ordered for other reasons?
This 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…
Episode 20: Minimum Data for Maximum Accuracy
This 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…
Episode 19: Leveraging Federated Learning to Supplement an AI Learning Dataset
This 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…
Episode 18: Ferumoxytol MRI to detect slow gastrointestinal bleeding
This 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…
Episode 17: AI for labeling aortic dissection on CT for endovascular treatment planning and surveillance
This episode reviews a study from the ROADMAP Group evaluating deep reinforcement learning for automatic aortic landmark localization in Stanford Type B aortic dissection — examining whether AI can…
Episode 16: Differentiating cysts from solid masses more reliably on breast ultrasound
This episode explores a technological advance from Johns Hopkins in the United States that improves diagnostic ultrasound for breast masses. By combining short-lag spatial coherence imaging with an…
Episode 15: Choroid plexus segmentation on MRI without contrast injection
This episode highlights a study from Korea using deep learning to generate synthetic contrast-enhanced brain MRI images—without injecting contrast agents. The model accurately segmented the choroid…
Episode 14: Benchmarking Pancreas Segmentation on CT
This episode explores a study from Radiology Advances tackling one of AI's toughest challenges in medical imaging: consistent pancreas segmentation across CT scans. The authors benchmarked multiple…
Episode 13: Making Ultrasound Elastography More Reliable
This episode explores a study from Radiology Advances challenging FDA's acoustic output limits for liver ultrasound elastography for obese patients. The authors tested the exam at a mechanical index…
Episode 12: Deep Silicon Photon Counting CT for Liver Fat
This episode features a cutting-edge study from Radiology Advances exploring Deep Silicon Photon-Counting CT (DS-IPCCT) for liver fat quantification. Using in silico models, the investigational…
Episode 11: RadGPT Delivers a Smarter Approach to Knee Imaging
This episode explores Radiology Advances research on RadGPT—a hybrid AI system combining image analysis with a language model to interpret knee radiographs. Built on 77,000 images, the system…
Episode 10: Deep Learning for Faster Neuro MRI
This episode covers a study from Radiology Advances evaluating deep learning–accelerated MRI across routine neuroradiology exams. Using Siemens' Deep Resolve, scan times were cut by over 50% without…
Episode 9: CT as a Noninvasive Alternative for Lung Shunt Fraction Estimation
This episode discusses a study from Radiology Advances evaluating contrast-enhanced CT as a non-invasive alternative for lung shunt fraction (LSF) estimation in hepatic radioembolization to the…
Episode 8: Advancing MRI Efficiency in Memory Disorders
This episode covers a study in Radiology Advances evaluating deep learning–accelerated T1 MPRAGE MRI in patients with memory loss. The approach cut scan time by more than half while preserving image…
Episode 7: Automating Myocardial Infarct Segmentation
This episode spotlights a study from Radiology Advances introducing a fully automated deep learning pipeline for myocardial infarct segmentation on late gadolinium enhancement cardiac MRI. Developed…
Episode 6: Ultrasound-Derived Liver Fat Fraction After Bariatric Surgery
A prospective study evaluates ultrasound-derived fat fraction (UDFF) as a tool to monitor hepatic steatosis after bariatric surgery. Host commentary unpacks how UDFF may offer a non-invasive,…
Episode 5: Automated Brain Hemorrhage Segmentationwith on CT
A multi-center study evaluating an AI model for automated CT segmentation of intracerebral hemorrhage, intraventricular hemorrhage, and perihematomal edema. Host commentary highlights how the deep…
Episode 4: The Robotic Edge in CT-Guided Procedures
A prospective randomized trial compares robotic versus manual needle insertion for CT-guided intervention. Host commentary summarizes the results that show the robotic system matched manual accuracy…
Frequently Asked Questions
Radiology Advances Podcast | RSNA has published 23 episodes since July 2025, covering topics in Health & Fitness, Medicine.
Radiology Advances Podcast | RSNA is currently highly active with new episodes every 2 weeks. Average episode length is 11m.
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