Radiology Rewired

Why do the best-run health systems almost never want to be the first to try new AI?

In this episode of Radiology Rewired, Dr. Vivek Singh sits down with Scott Becker, founder of Becker's Healthcare and one of the most connected voices in the industry, to unpack the gap between how healthcare executives evaluate technology and how clinicians actually experience it on the ground. With decades spent talking to health system leaders, investors, and physicians across the country, Becker brings a rare, wide-lens view of where AI adoption is working, where it's overhyped, and why.

The conversation explores why intentional adoption beats opportunistic adoption, how platforms like Epic are reshaping the market for point solutions, and what “trust but verify” means for AI-assisted care. They discuss why addressing healthcare’s workforce shortage matters as much as introducing new technology.

Becker also shares lessons from building Becker's Healthcare from a small newsletter into a media conglomerate, and what he looks for in entrepreneurs and health systems that get technology adoption right.

A candid conversation about the real mechanics of AI adoption, from the boardroom to the reading room.



Radiology Rewired · Season 2, Episode 6


🎙️ SPEAKERS
👨‍⚕️ Guest: Scott Becker
Founder, Becker's Healthcare
Author of Building Great Businesses | scottbeckerauthor.com 

🎙️ Host: Dr. Vivek Singh, MD
Neuroradiologist, MUSC
Host, Radiology Rewired Podcast

Did you know five percent of patients drive half of all healthcare costs?

In this episode of Radiology Rewired, Dr. Tim Judson, MD, MPH, Interim Chief Population Health Officer at UCSF Health, unpacks how AI is reshaping population health: predicting who needs care next, scaling outreach beyond what any care team could manage alone, and rethinking how systems measure value.

For decades, access, cost, and quality have been treated as an "iron triangle." Improve one, and you tend to compromise another. Dr. Judson believes AI can play a profound role in loosening that trade-off, improving efficiency without driving up costs.

We dig into the big ideas shaping population health: how predictive AI flags high-risk patients months before a crisis, how agentic tools let one care manager oversee outreach to dozens of patients at once, why value-based care and AI need to advance together, and how the same "find it, characterize it, act on it" logic radiology knows well is now scaling to entire populations.

A wide-angle conversation about AI's growing role in population health, and what it takes to deliver consistent, high-quality care at scale.

Radiology Rewired · Season 2, Episode 5


🎙️ SPEAKERS

👨‍⚕️ Guest: Tim Judson, MD, MPH
Chief Population Health Officer, UCSF Health

🎙️ Host: Dr. Vivek Singh, MD
Neuroradiologist, MUSC
Host, Radiology Rewired Podcast


🎙️ Listen on Apple Podcasts and Spotify
🔗 Learn more: https://www.rapidai.com/podcasts  

Most healthcare AI doesn't fail on accuracy. It fails when it tries to leave the lab and enter a hospital.

Artem Trotsyuk knows that gap firsthand. He earned his PhD at Stanford building a smart bandage for wound care, then watched the path from paper to patient turn into a harder problem than the engineering itself. Now part of a governance group at Stanford Health Care, he evaluates AI tools before they reach clinicians, weighing financial impact, ethics, and workflow fit against what patients, developers, and doctors each actually want.

In this episode: why vibe-coding gets you 80% of the way to a healthcare app and stalls at the clinical door, how hospitals actually score a tool's accuracy and risk, why the evidence keeps favoring augmentation over replacement, and how community hospitals without big budgets can get access to the same rigor.

Radiology Rewired · Season 2, Episode 4


🎙️ SPEAKERS
👨‍⚕️ Guest: Artem Trotsyuk, PhD
Stanford Medicine (AI/biotech research)

🎙️ Host: Dr. Vivek Singh, MD
Neuroradiologist, MUSC
Host, Radiology Rewired Podcast

🎙️ Listen on Apple Podcasts and Spotify
🔗 Learn more: https://www.rapidai.com/podcasts  

AI is increasingly impacting neurosurgery and the future of the OR. In this episode of Radiology Rewired, we welcome Dr. Sabareesh Natarajan, a triple-trained neurosurgeon, neurointerventionalist, and radiation specialist in San Diego.

As both a practicing surgeon and the founder of his own neuroscience practice, Dr. Natarajan brings a rare vantage point: clinician, entrepreneur, and systems thinker. He argues that AI's real promise isn't pattern recognition—it's precision medicine. It's an approach to breaking down the silos that slow acute care, and delivering expert-level treatment no matter where a patient lives.

We get into the ideas reshaping neuroscience: how AI-connected platforms are compressing the time from stroke detection to intervention, why "finding your patient's twin" across thousands of hospitals could guide the best treatment, how robotics and teleoperation could bring remote surgery to underserved communities, and why breaking down clinical silos may matter as much as any single algorithm.

🎙️ SPEAKERS
👨‍⚕️ Guest: Sabareesh Natarajan, MD, MS
Neurosurgeon & Neurointerventionalist, BSV (Brain Spine Vascular)
​Diplomate, American Board of Neurological Surgery
​Diplomate in CNS Endovascular Surgery-ABNS, ABR & ABPN
Open Vascular/ Endovascular& Skull Base Neurosurgeon

🎙️ Host: Dr. Vivek Singh, MD
Neuroradiologist, MUSC
Host, Radiology Rewired Podcast

🎙️ Listen on Apple Podcasts and Spotify
🔗 Learn more: https://www.rapidai.com/podcasts  

AI is accelerating MRI, moving imaging upstream into prevention, and catching disease years before symptoms. In this episode of Radiology Rewired, Dr. Dan Sodickson, a pioneer of parallel imaging and modern MRI, explains his take on imaging's evolving role in patient care.

After nearly two decades leading imaging research at NYU Langone, Dr. Sodickson is now Chief Medical Scientist at Function Health, tackling a different question: what happens when radiology's most powerful tools are used before disease rears its head, not after?

We get into the ideas reshaping the future of imaging: how AI is compressing 20-minute MRI scans into a single minute, why "scanners with memory" could make follow-up imaging faster and cheaper, how combining MRI with blood work and prior scans can detect cancer years before symptoms, and why Dr. Sodickson believes faster, more accessible imaging is inevitable.

Radiology Rewired · Season 2, Episode 2

🎙️ SPEAKERS

👨‍⚕️ Guest: Dr. Dan Sodickson, MD, PhD 
Chief Medical Scientist, Function Health

🎙️ Host: Dr. Vivek Singh, MD
Neuroradiologist, MUSC
Host, Radiology Rewired Podcast

🎙️ Listen on Apple Podcasts and Spotify
🔗 Learn more: https://www.rapidai.com/podcasts  

What does it actually take to implement AI in radiology — at scale, in the real world?
Not in a lab. Not in theory. In a 4,000-radiologist practice covering hospitals across the country.

In the Season 2 premiere of Radiology Rewired, host Dr. Vivek Singh (Neuroradiologist, MUSC) sits down with Dr. Ryan Harvey — practicing radiologist, Clinical Assistant Professor at Florida State University, and President of Radiology Associates of Florida — to unpack the real mechanics, human friction, and future of AI-powered radiology.

From ambient dictation and multimodal vision-language models to care coordination and AI governance, this conversation doesn't shy away from the hard questions: Are we training residents wrong? Will AI displace radiologists? And what does a true AI platform actually look like vs. a pile of disconnected tools?

This is the conversation every radiologist, radiology trainee, and healthcare AI leader needs to hear.

🎙️ SPEAKERS

Guest: Dr. Ryan Harvey, MD
Radiologist & Clinical Assistant Professor, Florida State University
President, Radiology Associates of Florida (Rad Partners)

Host: Dr. Vivek Singh, MD
Neuroradiologist, MUSC
Host, Radiology Rewired Podcast


🎙️ Listen on Apple Podcasts and Spotify
🔗 Learn more: https://www.rapidai.com/podcasts 

"We owe it to our patients to be maximally attentive, minimally fatigued."

Meet Ryan Harvey, MD, radiologist, and one of the sharpest voices on what AI actually changes in practice.

S2E1 of Radiology Rewired drops 7.6.26 🎙️

The future of radiology isn't being written by one voice. It's being shaped by the conversations happening across healthcare every day.

It's why Radiology Rewired Season 2 welcomes diverse voices to the mic.

We're kicking things off with a bang on July 6.

Stay tuned. 🎙️

#RadiologyRewired #AIinHealthcare #Radiology #ComingSoon #MedicalImaging

In Episode 5 of Radiology Rewired, Dr. Vivek Singh speaks with Dr. David Stoffel, Chief Business Officer at RapidAI, about what changes when clinical AI moves beyond pilots and becomes part of a hospital’s core infrastructure.

Rather than focusing on whether AI works, the conversation looks at how hospitals operationalize AI at scale. Dr. Stoffel shares perspective from across medicine, business, and healthcare technology to explain why leadership decisions, governance models, and shared access determine whether AI actually shapes clinical decisions.

Topics include how hospitals move from isolated tools to platforms, why efficiency gains alone rarely justify investment, and what it takes to embed AI into real workflows without adding friction for clinicians.

This episode offers a practical, execution-focused view of how clinical AI becomes a durable, system-wide capability inside complex healthcare organizations.

Chapters:
00:00 – Introduction: when clinical AI becomes infrastructure
01:10 – Moving beyond AI pilots
02:30 – Why efficiency does not equal impact
03:50 – How hospitals operationalize AI decisions
05:10 – Leadership, governance, and shared access
06:40 – Why integration across specialties matters
08:15 – Stroke care as an infrastructure model
10:05 – Predictive AI and decision-making at scale
12:20 – Avoiding cognitive burden in AI deployment
14:20 – What clinical AI looks like when it sticks

In this episode of Radiology Rewired, Dr. Vivek Singh sits down with Dr. Samir Kumar, chief medical officer and former nephrologist, to explore why clinical AI succeeds in some health systems and fails to deliver value in others.

The conversation takes a system-level view of AI adoption, examining how leadership alignment, cross-specialty integration, and measurable return on investment determine whether AI meaningfully improves care or quietly stalls. Dr. Kumar shares the administrative perspective on evaluating clinical AI tools, including why many solutions demonstrate efficiency gains but never translate into sustained impact.

They also discuss how poorly integrated AI can increase cognitive burden for clinicians, while thoughtfully implemented systems can reduce mental strain, support earlier decision-making, and improve coordination across care teams without undermining clinical judgment.

This episode offers practical insight for physicians, health system leaders, and anyone involved in healthcare AI adoption.

Chapters:
00:00 — Introduction: why clinical AI adoption often stalls
01:15 — Efficiency vs. value in healthcare AI
02:45 — How health systems evaluate AI ROI
04:20 — The role of leadership and governance in AI adoption
06:10 — Why cross-specialty integration matters
08:05 — Stroke care as a model for AI-enabled coordination
10:10 — Clinical decision support and predictive AI models
12:30 — Reducing cognitive burden for clinicians
14:20 — What successful clinical AI looks like at scale

Watch on YouTube!