Radiology AI Podcast | RSNA
A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America. It covers topics related to radiology AI and the latest advancements in the field.
Episodes
Episode 63: Radiology Meets Venture Capital
Drs. Ali Tejani and Paul Yi sit down with Dr. Jesse Courtier to explore his journey from academic radiology to startup founding and venture capital. The conversation dives into innovation, AI in radiology, and how clinicians can shape the future beyond the reading room. Radiology: Artificial Intelligence Journal
Episode 62: Hot Takes: Radiology Reimagined with AI
Host Satvik Tripathi interviews guest Dr. Dania Daye about how AI is reshaping radiology; from workflow integration and governance to training, value assessment, and the future role of radiologists. Together, they explore the promise of foundation models, the need for outcome‑driven evaluation, and the importance of preparing clinicians to manage AI responsibly while preserving the human elements
Episode 61: Radiology: AI RSNA2025 Fireside Chat LIVE
Live recording of the RSNA 2025 Fireside chat hosted by Drs. Paul Yi and Ali Tejani of the Radiology: Artificial Intelligence podcast. This AI Fireside chat was an informal discussion with some of the leaders, movers, and shakers in the field of AI in radiology. This session was recording at RSNA AI Theater for an intimate and storied time of reflection on the year's developments in AI, discussion
Episode 60: Hot Takes: Rapid Questions on the Future of Radiology AI
Satvik Tripathi sits down with Saurabh Jha for a candid conversation on where radiology AI is delivering real value versus hype. They explore automation, workflow impact, and the hard questions shaping the future of AI in radiology. Radiology: Artificial Intelligence
Episode 59: From Prototype to Patient Care
Host Ali Tejani speaks with Dr. Laurens Topff and Stephane Willaert about how to identify high-value clinical problems in radiology and translate AI tools from research prototypes into real clinical practice. Together, they discuss lessons learned from collaboration, workflow integration, and what it takes to develop AI that radiologists will actually use. https://pubs.rsna.org/journal/ai
Episode 58: BRATS Africa: Building Inclusive AI in Radiology
Our hosts, Ali and Paul, speak with Dr. Udunna Anazodo and Dr. Marouf Adewole about their groundbreaking work on the BRATS Africa challenge and building AI-ready brain tumor imaging datasets across Nigeria. They share insights into the challenges of medical imaging in resource-limited settings, the power of global collaboration, and how their efforts are shaping the future of inclusive AI in radio
Episode 57: MedArena, Radiology AI, Being Twins: A Conversation with the Wu Brothers
In this episode of the Radiology Artificial Intelligence Podcast, host Dr. Paul Yi speaks with Drs. Eric and Kevin Wu, recent Stanford PhDs, about their journey through academia, industry, and the startup world. They dive into their latest project, MedArena, a physician-powered platform designed to evaluate medical LLMs, and explore how AI can be more effectively integrated into real-world clinic
Episode 56: Radiology AI Papers in a Capsule Series-Episode 2
In this AI-generated episode of Radiology AI Papers in a Capsule, we discuss a study that extends the NeuroHarmony AI model to address scanner variability in brain MRI for Alzheimer's disease assessment. Learn how incorporating cognitive status into harmonization may improve the reliability of quantitative imaging across diverse clinical settings. A Machine Learning Model to Harmonize Volumetric B
Episode 55: Mentorship for Future Informatics Leaders
Dr. Dana Alkhulaifat explores how mentorship can inspire and guide the next generation of leaders in radiology and imaging informatics. Guests Dr. Tessa Cook and Satvik Tripathi share insights on building awareness, creating opportunities, and the impact of strong mentor-mentee relationships.
Episode 54: Lessons from Building a Radiology Startup
Dr. Jason Adelberg talks with Dr. John Stewart about how he built rScriptor, a radiology dictation tool, from a personal side project into a widely adopted software product. Dr. Stewart shares lessons on entrepreneurship, product development, and how radiologists can turn their own ideas into real businesses.
Episode 53: Scaling AI for Real-World Radiology Workflows
In this episode, hosts Dr. Cody Savage and Dr. Ali Tejani speak with Dr. Pranav Rajpurkar and Dr. Michael Moritz about the future of AI in radiology, from research breakthroughs to real-world implementation. They discuss building AI models that detect every disease, the challenges of integrating AI into clinical workflows, and the entrepreneurial journey of bringing cutting-edge technology to medi
Episode 52: AI-Generated Podcasts: The Future of Radiology Broadcasting?
Join hosts Dr. Paul Yi and Dr. Ali Tejani as they welcome new team members Dr. Bardia Khosravi and Dr. Cody Savage to discuss the rise of AI-generated podcasts and their impact on radiology education. From Google's Notebook LM to the challenges of AI hallucinations, they explore the future of automated content creation and what it means for the Radiology Artificial Intelligence Podcast.
Episode 51: Radiology AI Papers in a Capsule Series-Episode 1
In this AI-generated episode of Radiology AI Papers in a Capsule, we explore a groundbreaking study on AI-integrated mammography screening. This research, conducted by Elhakim and colleagues from Odense University Hospital, examines how artificial intelligence can optimize screening workflows while maintaining diagnostic accuracy. We break down the study's three integration scenarios, their impact
Episode 50: Radiology: AI RSNA2024 Fireside Chat LIVE
Live recording of the RSNA 2024 Fireside chat hosted by Drs. Paul Yi and Ali Tejani of the Radiology: Artificial Intelligence podcast. This AI Fireside chat was an informal discussion with some of the leaders, movers, and shakers in the field of AI in radiology. This session was recording at RSNA AI Theater for an intimate and storied time of reflection on the year's developments in AI, discussion
Episode 49: RSNA 2024: AI Insights and Key Highlights
Dr. Ali Tejani and Dr. Paul Yi preview RSNA 2024 with Dr. Charles Kahn, Editor-in-Chief of Radiology AI. They discuss key highlights from the past year, including the updated CLAIM guidelines, innovative AI tools, and upcoming sessions at RSNA2024.
Episode 48: Standardizing LLM Research in Radiology- Part 2
Dr. Ali Tejani and Dr. Paul Yi discuss the current state of large language model (LLM) research and its applications in radiology with their guests Dr. Merel Huisman, Dr. Tugba Akinci D'Antonoli, and Dr. Christian Bluethgen. They explore the rapid evolution of this field, including the surge in publications and the diverse use cases being explored. A New Era of Text Mining in Radiology with Priva
Episode 47: Standardizing LLM Research in Radiology- Part 1
Dr. Ali Tejani and Dr. Paul Yi discuss the current state of large language model (LLM) research and its applications in radiology with their guests Dr. Merel Huisman, Dr. Tugba Akinci D'Antonoli, and Dr. Christian Bluethgen. They explore the rapid evolution of this field, including the surge in publications and the diverse use cases being explored. A New Era of Text Mining in Radiology with Priva
Episode 46: Reviewing LLM Articles
Host Dr. Ali Tenjani speaks with Dr. Christian Bluethgen about his experience reviewing papers on large language models. Stay tuned to hear more from Dr. Bluethgen in future episodes.
Episode 45: Data Resources Initiative - Part 2
Picking up where part 1 left off, Dr. Ali Tejani and Dr. Paul Yi speak with Dr. Bardia Khosravi to learn more about the journal's latest Date Resource initiative.
Episode 44: Data Resources Initiative - Part 1
Dr. Ali Tejani and Dr. Paul Yi speak with Dr. Bardia Khosravi to learn more about the journal's latest Data Resource initiative.
Episode 43: AI for Opportunistic Imaging - Part 2
Dr. Paul Yi and Dr. Ali Tejani host a roundtable discussion on the role for AI for opportunistic imaging with Dr. Kirti Magudia, Dr. Michael Rosenthal, and Dr. Abhinav Suri. Imaging AI in Practice collection
Episode 42: AI for Opportunistic Imaging - Part 1
Dr. Paul Yi and Dr. Ali Tejani host a roundtable discussion on the role for AI for opportunistic imaging with Dr. Kirti Magudia, Dr. Michael Rosenthal, and Dr. Abhinav Suri. Imaging AI in Practice collection
Episode 41: Interview with Dr. Charles Kahn
Co-hosts Dr. Paul Yi and Dr. Ali Tejani interview Dr. Charles Kahn, Editor of Radiology: Artificial Intelligence about how the journal has grown, plans for the future, and the RSNA Annual Meeting 2023. Dr. Kahn's official blog for the Radiology: AI journal
Episode 40: A Year in Review for Radiology AI 2023
Co-hosts Dr. Paul Yi and Dr. Ali Tejani talk about all of the advances that came out in AI last year and what they predict will be the future of the field for 2024. Data Resources
Episode 39: Radiology: AI RSNA2023 Fireside Chat LIVE
Live recording of the RSNA 2023 Fireside chat hosted by Paul Yi and Ali Tejani
Episode 38: TotalSegmentator
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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.
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
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
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 produ
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
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
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
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
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
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
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
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
Episode 6: Radiology AI: Past, Present and Future
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
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
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
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
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
Dr. Paul Yi interviews Radiology: Artificial Intelligence Editor Charles E. Kahn, Jr., MD, MS. Introduction to the podcast by Dania Daye, MD, PhD
