Radiological Society of North America (RSNA)

Radiology AI Podcast | RSNA

Science EN ↓ 63 episodes

A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.

Author

Radiological Society of North America (RSNA)

Category

Science

Podcast website

pubs.rsna.org

Latest episode

Apr 17, 2026

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Episodes

Episode 13: State of Radiology AI Algorithms in the Marketplace 25.06.2021

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

Episode 12: How to make a radiology practice "AI-ready" 28.05.2021

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

Episode 11: Clinical Experience with AI Model for CT Head Triage 30.04.2021

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

Episode 10: NIH Data Scholar Program at Fogarty and Radiology:AI Trainee Editorial Board 26.03.2021

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

Episode 9: AI in Global Radiology 26.02.2021

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  

Episode 8: AI in Radiology Education 29.01.2021

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

Episode 7: Medical Imaging and Data Resource Center 01.01.2021

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

Episode 6: Radiology AI: Past, Present and Future 27.11.2020

Dr. Paul Yi interviews Eliot Siegel, MD the Vice Chair of Radiology, University of Maryland.  Introduction to the podcast by Dania Daye, MD, PhD RSNA2020 Virtual Meeting https://www.rsna.org/annual-meeting

Episode 5: Interview with Ian Pan, MD 30.10.2020

Dr. Paul Yi interviews Dr. Ian Pan the world's first physician & Kaggle Grandmaster.  Introduction to the podcast by Dania Daye, MD, PhD RSNA2020 Virtual Meeting https://www.rsna.org/annual-meeting

Episode 4: Interview with Dr. Curtis Langlotz 25.09.2020

Dr. Paul Yi interviews Curtis P. Langlotz, MD, PhD, RSNA Board Liaison for Information Technology and Annual Meeting. Introduction to the podcast by Dania Daye, MD, PhD RSNA2020 Virtual Meeting https://www.rsna.org/annual-meeting

Episode 3: 2019 RSNA Brain CT Hemorrhage Challenge 31.07.2020

Dr. Paul Yi interviews Adam Flanders, MD about his paper "Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge" from Radiology: Artificial Intelligence Volume 2: Number 3.  [Full Text] Introduction to the podcast by Dania Daye, MD, PhD RSNA2020 Virtual Meeting https://www.rsna.org/annual-meeting

Episode 2: Author and Reviewer Guide to CLAIM 29.05.2020

Dr. Paul Yi interviews Linda Moy, MD and John Mongan, MD, PhD about their paper "Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers" from Radiology: Artificial Intelligence Volume 2: Number 2.  [Full Text] Introduction to the podcast by Dania Daye, MD, PhD

Episode 1: Welcome to the Radiology: AI podcast 03.04.2020

Dr. Paul Yi interviews Radiology: Artificial Intelligence Editor Charles E. Kahn, Jr., MD, MS. Introduction to the podcast by Dania Daye, MD, PhD

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