Radiology Podcast | RSNA

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 Demonstration. Jiao et al. Radiology 2026; 319(3):e252225.

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 during non-operating hours.
 
Quantification of Imaging Suite–Level Energy Patterns in MRI, CT, and PET/CT to Guide Energy Efficiency. Hernandez et al. Radiology 2026; 319(1):e253128.

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 Scores over Time. Lehman et al. Radiology 2026; 319(3):e253023.

Dr. Refky Nicola welcomes back Dr. Kate Hanneman to discuss new research examining the link between long-term air pollution exposure and coronary atherosclerosis detected on cardiac CT. Together, they explore key findings on plaque burden, sex-specific differences, cumulative exposure risks, and the growing cardiovascular implications of wildfire smoke.
 
Sex-Specific Associations between Long-term Air Pollution Exposure and Coronary Atherosclerosis at Cardiac CT. Castillo et al. Radiology 2026; 319(3):e252086.

Dr. Lauren Kim and first author Dr. Daniel Marinescu discuss this study comprised of approximately 1,500 patients which determines the relative importance of specific CT imaging features used to distinguish radiologic patterns in fibrotic interstitial lung disease. This study identifies areas of substantial incongruence between radiologist-assigned ILD patterns and current clinical diagnostic guideline definitions, incongruencies which in turn may help refine and standardize future diagnostic criteria.
Association of CT Features with Radiologic Patterns in Interstitial Lung Disease: Multinomial Analysis in CARE-PF.  Marinescu et al. Radiology 2026; 318(3):e251944.
From CT Features and Patterns to Clinical Pathways: Focusing a Multinomial Lens on Fibrotic ILD. Czum and Brown. Radiology 2026; 318(3):e260494.