Podcast
Radiology AI Podcast | RSNA
Hosted by Radiological Society of North America (RSNA) · EN
A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.
16episodes
Episodes
Newest firstAll episodes
Episode 63: Radiology Meets Venture Capital
Apr 1700:31:47Tap to summarizeDrs. 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
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Episode 62: Hot Takes: Radiology Reimagined with AI
Mar 1200:28:16Tap to summarizeHost 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 of care. Radiology: Artificial Intelligence Journal
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Episode 61: Radiology: AI RSNA2025 Fireside Chat LIVE
Feb 1301:01:08Tap to summarizeLive 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 about where the field is moving, and lively debate over controversial topics relevant to radiology, AI, and beyond. Our esteemed panelists included: Charles Kahn, Jr., MD, MS - Editor of Radiology: AI Nina Kottler, MD, MS - Associate CMO, & Clinical AI VP Clinical Operations, Radiology Partners Woojin Kim, MD - Chief Medical Officer, ACR Data Science Institute & Chief Medical Information Officer of Rad AI Linda Moy, MD - Vice Chair of AI for the NYU Department of Radiology
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Episode 60: Hot Takes: Rapid Questions on the Future of Radiology AI
Dec 2200:26:26Tap to summarizeSatvik 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
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Episode 59: From Prototype to Patient Care
Oct 3100:33:43Tap to summarizeHost 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
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Episode 58: BRATS Africa: Building Inclusive AI in Radiology
Sep 500:50:12Tap to summarizeOur 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 radiology.
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Episode 57: MedArena, Radiology AI, Being Twins: A Conversation with the Wu Brothers
Jul 1800:32:33Tap to summarizeIn 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 clinical workflows.
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Episode 56: Radiology AI Papers in a Capsule Series-Episode 2
May 30, 202500:11:46Tap to summarizeIn 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 BrainMRI Data for Quantitative Neuroradiologic Assessment ofAlzheimer Disease. Archetti and Venkatraghavan et al. Radiology: Artificial Intelligence 2025; 7(1):e240030.
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Episode 55: Mentorship for Future Informatics Leaders
May 23, 202500:21:28Tap to summarizeDr. 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.
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Episode 54: Lessons from Building a Radiology Startup
Apr 25, 202500:31:58Tap to summarizeDr. 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.
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