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Radiology AI Podcast | RSNA

Radiological Society of North America (RSNA)
Radiology AI Podcast | RSNA
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  • 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 clinical workflows.
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  • 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 BrainMRI Data for Quantitative Neuroradiologic Assessment ofAlzheimer Disease. Archetti and Venkatraghavan et al. Radiology: Artificial Intelligence 2025; 7(1):e240030.
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  • 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.
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  • 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.
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    31:58
  • 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.
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A podcast devoted to clinical radiology and allied sciences, owned and published by the Radiological Society of North America.
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