Radiology AI Podcasts | RSNA

Radiological Society of North America (RSNA)
Radiology AI Podcasts | RSNA

A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.

  1. MAR 25

    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 medical imaging.

    43 min

  2. FEB 25

    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.

    24 min

  3. JAN 31

    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 on workload reduction, and the clinical significance of AI-assisted double reading. Tune in for an insightful, AI-curated discussion on the evolving role of AI in radiology. AI-integrated Screening to Replace Double Reading of Mammograms: A Population-wide Accuracy and Feasibility Study. Elhakim et al. Radiology: Artificial Intelligence 2024; 6(6):e230529.

    6 min

  4. JAN 16

    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 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 Linda Moy, MD - Editor of Radiology Nina Kottler, MD, MS - Associate CMO, & Clinical AI VP Clinical Operations, Radiology Partners Matthew Lungren, MD, MPH - Chief Data Science Officer for Microsoft Health & Life Sciences Woojin Kim, MD - Chief Medical Officer, ACR Data Science Institute & Chief Medical Information Officer of Rad AI

    57 min

  5. 11/21/2024

    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.

    30 min

  6. 10/11/2024

    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 Privacy-Preserving LLMs. Akinci D'Antonoli and Bluethgen.  Radiology: Artificial Intelligence 2024; 6(4):e240261. The AI Generalization Gap: One Size Does Not Fit All. Huisman and Hannink. Radiology: Artificial Intelligence 2023; 5(5):e230246.

    37 min

  7. 09/13/2024

    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 Privacy-Preserving LLMs. Akinci D'Antonoli and Bluethgen.  Radiology: Artificial Intelligence 2024; 6(4):e240261. The AI Generalization Gap: One Size Does Not Fit All. Huisman and Hannink. Radiology: Artificial Intelligence 2023; 5(5):e230246.

    28 min

  8. 07/31/2024

    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.

    11 min
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    Ratings & Reviews

    5
    out of 5
    13 Ratings

    About

    A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.

    Information

    • Creator
      Radiological Society of North America (RSNA)
    • Years Active
      2020 - 2025
    • Episodes
      53
    • Rating
      Clean
    • Copyright
      © 2023, Radiological Society of North America (RSNA)
    • Show Website
      Radiology AI Podcasts | RSNA

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