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

Where to listen?

Podcasts in the app Replaio Radio Coming soon

Podcasts are coming to the app soon. Install now and be the first to see a whole new take on podcasts

Get it on Google Play Install for free Android 5M+ downloads · 4.8 rating iOS soon

Episodes

Episode 38: TotalSegmentator 17.11.2023

Co-hosts Dr. Paul Yi and Dr. Ali Tejani talk to Dr. Jakob Wasserthal about Robust Segmentation of 104 Anatomic Structures in CT Images.  TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. Wasserthal et al. Radiology: Artificial Intelligence 2023; 5(5):e230024. TotalSegmentator

Episode 37: Models to Automate Estimation of Myelin Maturity 27.10.2023

Co-hosts Dr. Paul Yi and Dr. Ali Tejani talk to Drs. Tugba Akincidantonoli and Jakob Wasserthal about Models to Automate Estimation of Myelin Maturity. Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI Scans. Akinci D'Antonoli et al. Radiology: Artificial Intelligence 2023; 5(5):e220292. 

Episode 36: Algorithmic Fairness in Machine Learning 29.09.2023

Drs. Paul Yi and Ali Tejani speak with Dr. Kareem A. Wahid about Algorithmic Fairness in Machine Learning and why it's relevant to healthcare Check out Dr. Wahid's blog about this topic here  

Episode 35: Sustainability in AI - Part 2 15.09.2023

Drs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI. 

Episode 34: Sustainability in AI - Part 1 01.09.2023

Drs. Paul Yi and Ali Tejani speak with Dr. Florence Doo, the Director of Innovation University of Maryland Medical Center, about Sustainability in AI. 

Episode 33: Roundtable Discussion Series - Generative AI - Part 2 28.07.2023

Drs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.

Episode 32: Roundtable Discussion Series - Generative AI - Part 1 30.06.2023

Drs. Paul Yi and Ali Tejani host a roundtable discussion with Drs. Felipe Kitamura and Bardia Khosravi about Generative AI.  

Episode 31: Breast Imaging Datasets (EmBED) - Part 2 02.06.2023

Co-Hosts Paul Yi and Ali Tejani interview Drs Hari Trivedi and MinJae Woo about their article recently published in the Radiology: Artificial Intelligence.  The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images. Jeong and Vey et al. Radiology: Artificial Intelligence 2023; 5(1):e220047.

Episode 30: Breast Imaging Datasets (EmBED) - Part 1 31.05.2023

Co-Hosts Paul Yi and Ali Tejani interview Drs Hari Trivedi and MinJae Woo about their article recently published in the Radiology: Artificial Intelligence.  The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images. Jeong and Vey et al. Radiology: Artificial Intelligence 2023; 5(1):e220047.

Episode 29: Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 2 07.04.2023

Co-hosts Dr. Paul Yi and Dr. Ali Tenjani speak with Jacopo Teneggi and Dr. Jeremias Sulam about Jacopo's trainee award winning research Weakly-Supervised Learning Substantially Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT.

Episode 28: Weakly-Supervised Learning for Global, Examination Labels and Code-Sharing Practices- Part 1 17.03.2023

Co-hosts Dr. Paul Yi and Dr. Ali Tenjani speak with Jacopo Teneggi and Dr. Jeremias Sulam about Jacopo's trainee award winning research Weakly-Supervised Learning Substantially Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT.

Episode 27: ChatGPT- Special Radiology Podcast Collaboration 21.02.2023

Drs. Paul Yi and Ali Tejani team up with Radiology podcast host Dr. Linda Chu to discuss the hot topic of ChatGPT with Dr. Som Biswas, Dr. Felipe Kitamura, and PhD Student Artie Shen.  For more ChatGPT content check out this articles- ChatGPT and the Future of Medical Writing- Dr. Som Biswas ChatGPT Is Shaping the Future of Medical Writing but Still Requires Human Judgment- Dr. Felipe Kitamura  Ch...

Episode 26: Trainee Editorial Board Experience 27.01.2023

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. 

Episode 25: Radiology: AI RSNA2022 Fireside Chat LIVE 31.12.2022

Live recording of the RSNA 2022 Fireside chat hosted by Paul Yi and Ali Tejani

Episode 24: Radiology: AI Roundtable - Starting an AI Research Lab 17.11.2022

Ali Tejani hosts a discussion with Drs. Kirti Magudia, Andreas Rauschecker, and Paul Yi about their research lab beginnings.

Episode 23: NLP/Transformer Models for Radiology 07.10.2022

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 H...

Episode 22: Re-Release Interview with Kaggle Grandmaster Ian Pan, MD 09.09.2022

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 dete...

Episode 21: Radiology-AI Software Developer & Real World Clinical Deployment of AI for Kidney Cyst Segmentation 15.07.2022

Radiology: AI podcast host Dr. Paul Yi interviews Akshay Goel, MD – Board-Certified Radiologist and Senior Machine Learning Scientist at Tempus Labs. 

Episode 20: Ethics of AI in Radiology and Medicine 17.06.2022

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 C...

Episode 19: Radiology: AI Journal Reflections and Social Media Team Update 29.04.2022

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. 

Episode 18: RSNA Fireside Chat 21.01.2022

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. 

Episode 17: Impact of Medical Image Processing on Downstream AI Performance 12.11.2021

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

Episode 16: Perspectives on radiology AI editorial process, direction of the field, and the importance of diversity in AI. 11.10.2021

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

Episode 15: Development of AI in Radiology and Future Directions. 27.08.2021

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 produ...

Episode 14: RSNA Pulmonary Embolism Detection Challenge 30.07.2021

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

Listen to the Radiology AI Podcast | RSNA podcast in Replaio

Radio and podcasts in one app - free, with no sign-up. Install today and do not miss the launch

Get it on Google Play

Replaio is not a podcast publisher; show names, artwork and audio belong to their authors and are distributed through public RSS feeds.