
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

Jan 27, 2023 • 38min
Episode 26: Trainee Editorial Board Experience
Co-hosts Dr. Ali Tejani and Dr. Paul Yi speak with Merel Huisman, MD, PhD, John Mayfield, MD, MSc, and Iwan Paulucci, PhD about their Radiology AI: Trainee Editorial Board experiences.

Dec 31, 2022 • 56min
Episode 25: Radiology: AI RSNA2022 Fireside Chat LIVE
Live recording of the RSNA 2022 Fireside chat hosted by Paul Yi and Ali Tejani

Nov 17, 2022 • 43min
Episode 24: Radiology: AI Roundtable - Starting an AI Research Lab
Ali Tejani hosts a discussion with Drs. Kirti Magudia, Andreas Rauschecker, and Paul Yi about their research lab beginnings.

Oct 7, 2022 • 41min
Episode 23: NLP/Transformer Models for Radiology
In this episode Drs Paul Yi, Ali Tejani, and Jae Ho Sohn diccuss the topic of bidirectional encoder representations from transformers (BERT) models in relation to radiology. Radiology: Artificial Intelligence Journal -Paul Yi, MD, Assistant Professor and Director of University of Maryland Medical Intelligent Imaging Center -Ali Tejani, MD, Radiology: Artificial Intelligence Podcast Co-host -Jae Ho Sohn, MD, Assistant Professor at the University of California San Francisco

Sep 9, 2022 • 27min
Episode 22: Re-Release Interview with Kaggle Grandmaster Ian Pan, MD
In honor for the RSNA C-Spine Kaggle competition, here is a throwback episode when host Paul Ye interviewed Ian Pan, MD the world's first physician & Kaggle Grandmaster. RSNA has teamed with the American Society of Neuroradiology (ASNR) and the American Society of Spine Radiology (ASSR) to conduct an AI challenge competition exploring whether artificial intelligence can be used to aid in the detection and localization of cervical spine fractures. In this challenge competition, competitors will try to develop machine learning models that match the radiologists' performance in detecting and localizing fractures to the seven vertebrae that comprise the cervical spine. Winners will be recognized at an event during the RSNA 2022 annual meeting. Check out the Challenge here: https://www.kaggle.com/competitions/rsna-2022-cervical-spine-fracture-detection

Jul 15, 2022 • 43min
Episode 21: Radiology-AI Software Developer & Real World Clinical Deployment of AI for Kidney Cyst Segmentation
Radiology: AI podcast host Dr. Paul Yi interviews Akshay Goel, MD – Board-Certified Radiologist and Senior Machine Learning Scientist at Tempus Labs.

Jun 17, 2022 • 51min
Episode 20: Ethics of AI in Radiology and Medicine
Dr. Paul Yi interivews Drs. Christoph Lehmann and John McGreevey about the ethics of AI in radiology and medicine. Christoph Lehmann, MD; Willis C. Maddrey, M.D. Distinguished Professorship in Clinical Science; Professor of Pediatrics, Population and Data Sciences, and Bioinformatics at UT Southwestern, where he directs the Clinical Informatics Center. John McGreevey, MD; Associate Professor of Clinical Medicine; Associate Chief Medical Information Officer, University of Pennsylvania Health System; Senior Fellow, Institute for Biomedical Informatics, University of Pennsylvania

Apr 29, 2022 • 42min
Episode 19: Radiology: AI Journal Reflections and Social Media Team Update
Charles Kahn, Jr., MD, MS, Hesham ElHalawani, MD, and Paul Yi, MD sit down to discuss the growth of the Radiology: AI Journal and what to expect from the social media team in the future.

Jan 21, 2022 • 58min
Episode 18: RSNA Fireside Chat
Live recording from the RSNA Annual Meeting 2021 for the Radiology: AI journals. Join Drs. Paul Yi and Dania Daye as they host a fireside discussion on all things AI past, present, and future.

Nov 12, 2021 • 37min
Episode 17:Impact of Medical Image Processing on Downstream AI Performance
Dr. Paul Yi interviews Bhavik Patel Senior Associate Consultant Associate Professor Department of Radiology Director of AI on recent article Impact of Upstream Medical Image Processing on Downstream Performance of a Head CT Triage Neural Network. Hooper et al. Radiology: Artificial Intelligence 2021; 3(4):e200229 Introduction to the podcast by Dania Daye, MD, PhD