Radiology Podcast | RSNA

Dr. Refky Nicola speaks with Dr. Divya Kumari and Ashima Kundu about their analysis of more than three decades of malpractice payment data, revealing why diagnostic errors dominate radiology litigation and how outpatient care contributes to risk. They discuss practical strategies for trainees and institutions to reduce diagnostic failures, the impact of legal reforms, and how artificial intelligence may reshape malpractice exposure in the future.
 
Insights into Radiology Malpractice Cases in the United Statesfrom the National Practitioner Data Bank. Kundu et al. Radiology 2026; 320(2):e253352.

Dr. Siddhant Dogra speaks with Dr. Ali Tejani about the essential AI literacy skills radiologists need to thrive in an era of foundation models, clinical AI tools, and rapidly evolving workflows. Together they explore AI education, model evaluation, human AI collaboration, workflow integration, and practical strategies for becoming a critical and informed user of radiology AI.
 
AI for Radiology: A Primer Part I. From Idea to Algorithm. Tejani et al. Radiology 2025; 317(1):e250692.
AI for Radiology: A Primer Part II. Interacting with AI Results. Tejani et al. Radiology 2026; 320(1):e252702.

Dr. Linda Chu welcomes Dr. Robert McDonald (Mayo Clinic) and Dr. Paul Evans (GE HealthCare) for a discussion on the evolution of MR contrast agents, exploring how gadolinium has changed MRI diagnostics and what decades of clinical experience have taught the radiology community. The conversation also looks ahead to emerging contrast technologies, including iron and manganese based agents and other innovations that could shape the future of MR imaging, safety, and sustainability.
Sponsored by GE HealthCare

Dr. Reni Butler speaks with Dr. Bryan Haslam, Dr. Greg Sorensen, Dr. Matt McCabe, and Dr. Christoph Lee about their large real-world study evaluating an AI driven workflow for screening mammography across 109 U.S. facilities. Together, they explore how AI helped general radiologists achieve cancer detection and recall performance comparable to breast imaging specialists, as well as the broader implications for patient care, workflow design, and the future of precision screening.
Closing the Performance Gap between Generalists and BreastImaging Specialists Using a Nationally Deployed AI Workflowfor Screening Mammography. McCabe et al. Radiology 2026; 320(1):e252005.

Host Dr. Linda Chu sits down with Dr. Jie Nguyen, Dr. Todd Lawrence, and Dr. Kirk Davis to discuss an interdisciplinary consensus on standardized knee meniscus MRI reporting and the terminology that improves communication between radiologists and orthopedic surgeons. Together, they explore MRI criteria for meniscus tears, reporting best practices, surgical implications, post operative assessment, and how consistent language can enhance patient care and clinical decision making.
Standardized Knee Meniscus MRI Reporting: An Interdisciplinary Delphi Consensus. Nguyen et al. Radiology 2026; 319(3):e251833.
 
Sponsored by GE HealthCare