Radiology Rewired

Radiology Rewired

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Radiology Rewired episodes

  • The Future Workforce | Radiology Rewired | S1E3

    Radiology remains one of the most essential specialties in modern medicine, yet many medical students and residents still hear the same warning: “AI is coming for radiologists.” That perception is shaping career decisions, training experiences, and how the next generation approaches image interpretation.

    In episode 3 of Radiology Rewired, Dr. Vivek Singh is joined by neuroradiologists Dr. Dhairya Lakhani and Dr. Vivek Yedavalli to discuss how AI is already influencing radiology training and why the real risk is not automation, but how future radiologists are taught to work with AI.

    The conversation focuses on trainees and early-career radiologists. The group explores how poorly designed AI can increase cognitive burden, encourage cognitive offloading, and weaken independent clinical reasoning if it is introduced without guardrails. They also discuss how AI can support learning when it provides context early, reinforces pattern recognition, and helps trainees focus on what matters most.

    This episode offers a clinician-led perspective on how residency programs, departments, and health systems can adopt AI in ways that strengthen training, protect clinical judgment, and build a more sustainable radiology workforce.

    Chapters
    00:00 – Introduction: why students still worry about AI
    01:30 – Imaging demand, burnout, and training pressure
    03:45 – How AI narratives affect the radiology pipeline
    06:10 – Cognitive burden and cognitive offloading in trainees
    09:00 – Using AI to support learning without replacing judgment
    11:45 – Workflow design and training-first systems
    14:30 – What residents need to graduate confident and independent
    17:30 – Preparing the next generation of radiologists

    Listen on Apple Podcasts and Spotify
    Read the full episode recap on the RapidAI blog: (enter blog URL here)

    1 hr 18 min
  • Workflow or Overload? | Radiology Rewired | S1E2

    In the second episode of Radiology Rewired, Dr. Singh sits down with Dr. Jeremy Heit, Director of Neuroimaging and Neurointerventional Services at Stanford, to explore the most pressing challenges facing radiology today, from workforce shortages to the rising burden of imaging demand.

    Dr. Heit discusses why 39 percent of radiologists are considering leaving the field, how private equity consolidation is reshaping career paths, and why medical students remain wary of radiology amid rapid advances in AI. He also breaks down how imaging volumes have accelerated far faster than the radiology workforce, and why deep clinical AI will be essential to closing this widening gap.

    This episode offers an unfiltered look at burnout, practice pressures, and the evolving role of AI in radiology.

    Chapters:
    00:00 — Introduction: workforce pressures and burnout
    01:00 — The collapse of traditional private practice models
    02:15 — Why medical students fear entering radiology
    03:56 — Understanding the 39 percent burnout statistic
    05:23 — How AI has reshaped stroke care and transfer decisions
    08:30 — Imaging volume growth vs. workforce capacity
    11:00 — What makes an AI tool clinically valuable
    13:00 — The future of AI adoption and physician-led innovation

    Listen on Apple Podcasts and Spotify
    See this episode on Youtube!

    1 hr 36 min
  • AI Meets Imaging | Radiology Rewired | S1E1

    In the debut episode of Radiology Rewired, RapidAI’s new clinician-led podcast hosted by Dr. Singh, Dr. Greg Albers—founder of RapidAI and professor of neurology at Stanford University—shares the story behind one of medicine’s most important breakthroughs: extending the stroke treatment window to 24 hours.

    Dr. Albers recounts how decades of imaging research led from early diffusion-perfusion MRI to automated AI tools that changed global stroke guidelines and transformed how teams diagnose and treat patients.

    This episode explores how deep clinical AI is reshaping radiology and why credible, clinician-led innovation remains essential for the next generation of healthcare technology.

    Chapters:
    00:00 – Introduction: Will AI replace radiologists?
    02:15 – The origins of stroke imaging research
    06:40 – How diffusion and perfusion imaging redefined treatment
    12:10 – The creation of RapidAI and clinical automation
    18:00 – Why AI reinforces, not replaces, radiologists
    25:00 – The future of explainable AI in stroke care

    Listen on Apple Podcasts and Spotify
    See this episode on Youtube!


    Learn more: rapidai.com/podcast/radiology-rewired

    1 hr 13 min
  • Radiology Rewired Podcast | A RapidAI original

    Radiology is being rewired in real time, and the voices leading that change are stepping up to the mic.

    Introducing Radiology Rewired, a new podcast from RapidAI, hosted by Vivek Singh, MD. Each episode features leading clinicians, researchers, and industry disruptors to unpack how innovation, economics, and human insight are redefining the future of imaging.

    It’s candid, thought-provoking, and created for everyone connected to radiology. 

    🎧 Episode 1 drops later this month.

    Follow RapidAI to be first to listen. 

    View teaser on YouTube!


    #RadiologyRewired #Radiology #AIinHealthcare #Podcast

    2 min

About Radiology Rewired

From the publisher's feed

Radiology Rewired explores the transformation of modern medical imaging and highlights the voices who are living and leading that change. Hosted by Vivek Singh, MD, Neuroradiologist,…