
Radiology AI Podcasts | RSNA
A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.
Latest episodes

Oct 11, 2021 • 35min
Episode 16 : Perspectives on radiology AI editorial process, direction of the field, and the importance of diversity in AI.
Dr. Paul Yi interviews Despina Kontos Matthew J. Wilson Associate Professor of Research Radiology II Associate Vice-Chair for Research University of Pennsylvania Introduction to the podcast by Dania Daye, MD, PhD

Aug 27, 2021 • 33min
Episode 15: Development of AI in Radiology and Future Directions.
Dr. Paul Yi interviews Ronald Summers, MD, PhD Senior Investigator of Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, NIH Clinical Center Disclaimer: The opinions expressed in this podcast are those of the participants and do not necessarily reflect those of the US Department of Health and Human Services or the National Institutes of Health. The mention of companies or commercial products in this podcast does not imply endorsement. Introduction to the podcast by Dania Daye, MD, PhD

Jul 30, 2021 • 34min
Episode 14: RSNA Pulmonary Embolism Detection Challenge
Dr. Paul Yi interviews Carol Wu, MD, Professor, Department of Thoracic Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX and Ian Pan, MD, Radiology Resident, Brigham and Women's Hospital about the RSNA Pulmonary Embolism Detection Challenge. Introduction to the podcast by Dania Daye, MD, PhD

Jun 25, 2021 • 38min
Episode 13: State of Radiology AI Algorithms in the Marketplace
Dr. Paul Yi interviews Hari Trivedi, MD, Assistant Professor of Radiology and Biomedical Informatics, co-director of the Health Innovation and Translational Informatics (HITI) lab Yasasvi Tadvarthi, MD, Resident Physician about their paper Radiology AI: Current Market Offerings and Purchasing Decisions, Tadavarthi et al. Introduction to the podcast by Dania Daye, MD, PhD

May 28, 2021 • 38min
Episode 12: How to make a radiology practice "AI-ready"
Dr. Paul Yi interviews Bradley J. Erickson, M.D., Ph.D. Professor of Radiology at Mayo Clinic College of Medicine and Science in Rochester, Minnesota Medical director for Artificial Intelligence Innovation and Enablement across Mayo Clinic. Introduction to the podcast by Dania Daye, MD, PhD

Apr 30, 2021 • 30min
Episode 11: Clinical Experience with AI Model for CT Head Triage
Dr. Paul Yi interviews Ronald Peshock, M.D. and Thomas O'Neill, M.D. on their article: Active Reprioritization of the Reading Worklist Using Artificial Intelligence Has a Beneficial Effect on the Turnaround Time for Interpretation of Head CT with Intracranial Hemorrhage Introduction to the podcast by Dania Daye, MD, PhD

Mar 26, 2021 • 40min
Episode 10: NIH Data Scholar Program at Fogarty and Radiology:AI Trainee Editorial Board
Dr. Paul Yi interviews Judy Gichoya, Assistant Professor of Interventional Radiology and Informatics, Emory University & NIH Data Scholar at Fogarty Introduction to the podcast by Dania Daye, MD, PhD

Feb 26, 2021 • 37min
Episode 9: AI in Global Radiology
Dr. Paul Yi interviews Drs. Farouk Dako, Felipe Kitamura, and Vidur Mahajan about Ai in global radiology. Introduction to the podcast by Dania Daye, MD, PhD

Jan 29, 2021 • 33min
Episode 8: AI in Radiology Education
Dr. Paul Yi interviews Dr. Katherine Andriole and Dr. Walter F. Wiggin about AI in radiology education and their paper: Preparing Radiologists to Lead in the Era of Artificial Intelligence. Wiggins et al. Radiology: Artificial Intelligence 2020; 2(6):e200057 Introduction to the podcast by Dania Daye, MD, PhD

Jan 1, 2021 • 28min
Episode 7: Medical Imaging and Data Resource Center
Dr. Paul Yi interviews Dr. Maryellen Giger and Dr. Matt Lungren about MIDRC, a joint RSNA/ACR/AAPM effort to create an open source data set with tens of thousands of COVID 19 medical images for research. Introduction to the podcast by Dania Daye, MD, PhD