Radiology AI Podcast | RSNA cover art

Radiology AI Podcast | RSNA

Radiology AI Podcast | RSNA

Written by: Radiological Society of North America (RSNA)
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A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.2023, Radiological Society of North America (RSNA) Hygiene & Healthy Living Physical Illness & Disease Science
Episodes
  • Episode 61: Radiology: AI RSNA2025 Fireside Chat LIVE
    Feb 13 2026

    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 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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    1 hr and 1 min
  • Episode 60: Hot Takes: Rapid Questions on the Future of Radiology AI
    Dec 22 2025

    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

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    26 mins
  • Episode 59: From Prototype to Patient Care
    Oct 31 2025

    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

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    34 mins
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