Radiology Podcast | RSNA

Linda Chu

Booking Overview

This is an interview-focused medical research podcast about peer-reviewed radiology studies, typically featuring the authors of recently published research in Radiology. Credible pitches include radiologists, imaging researchers, artificial-intelligence-in-medicine experts, and healthcare innovation specialists with directly relevant peer-reviewed work; booking is high difficulty because guests are generally selected for specific research relevance and publication credentials.

Metrics

Episodes: 309

Frequency: Weekly

Rating: 4.6/5.0

Estimated listeners: 1k-10k

Gender skew: Neutral

Location: USA

YouTube: 10.2k subscribers

Instagram: 100.0k followers

Contact Information

Publicly listed emails

podcasts@rsna.org

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Host

Linda Chu - Radiologist and editor of the Radiology Podcast.

Booking Intelligence

Booking Requirements

high

Typical Credentials:

Radiologists, imaging researchers, and physician-scientists with recently published, peer-reviewed research directly relevant to radiology and medical imaging.

Required Achievements:

Authorship of research published in Radiology, Leadership or authorship on clinically relevant imaging studies, Specialized expertise in radiology, medical imaging, or imaging artificial intelligence

Recent Guest Discussions

Albert Jiao - Interoperability, Imaging Artificial Intelligence, AI Evaluation, And Radiology Workflow Integration.

Andrew Hernandez - Medical Imaging Energy Consumption, Imaging-suite Efficiency, And Sustainability.

Connie Lehman - Artificial Intelligence, Breast Cancer Risk Prediction, Imaging Biomarkers, And Personalized Screening.

Kate Hammen - Air Pollution, Cardiac CT, Coronary Atherosclerosis, Plaque Burden, And Wildfire Smoke.

Daniel Marinescu - Chest CT, Fibrotic Interstitial Lung Disease, Radiologic Pattern Classification, And Diagnostic Standardization.

Recent Topics

Radiology, Medical Imaging, Artificial Intelligence, Clinical Research, Healthcare

Episodes

Here's the recent few episodes on

Radiology Podcast | RSNA

Radiology Reimagined

August 25, 2026

In this episode of the Radiology Podcast, Dr. Siddhant Dogra speaks with Dr. Albert Jiao about Radiology Reimagined and the critical role interoperability plays in integrating AI into everyday radiology workflows. Together, they explore lessons learned from large-scale AI demonstrations, practical considerations for evaluating imaging AI tools, and what the future of radiology innovation may look like. Radiology Reimagined: Interoperability and Lessons Learned from the Imaging AI in Practice ...

Quantifying Energy Consumption in MRI, CT, and PET/CT

August 18, 2026

Dr. Lauren Kim speaks with first author Dr. Andrew Hernandez about his study which comprehensively quantified energy consumption in MRI, CT, and PET/CT imaging suites by measuring the energy utilization of main power, HVAC, and chilled water subsystems. The study showed that HVAC and chilled water subsystems contribute substantially to total energy consumption, that energy efficiency increases with increasing daily scanning volume, and that a substantial portion of energy consumption occurs d...

AI and Breast Cancer Prediction

August 11, 2026

Host Dr. Reni Butler sits down with Dr. Connie Lehman to discuss groundbreaking research on how AI-generated breast cancer risk scores change over time and what those changes may reveal about a woman's future cancer risk. Together, they explore the promise of longitudinal imaging biomarkers, personalized screening strategies, and how artificial intelligence could transform breast cancer detection and prevention. Longitudinal Analysis of Changes in Deep Learning Image-based Breast Cancer Risk ...

Publicly listed emails

podcasts@rsna.org

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