Scanning the Market

About Scanning the Market

Scanning The Market dives straight into the business behind Radiology innovation. Hosted by Jay Gurney, every episode delivers real talk with the founders, investors, and visionaries shaping the Medical Imaging and AI landscape. This is where ambition meets economics. It’s fast, opinionated, and built for people who want to understand where the money, talent, and opportunity are really moving. Forget the corporate filter. These are honest conversations about risk, growth, and the grind of building something in Radiology that actually succeeds.

Publisher

Projectus Consulting

Category

business

Language

en

Explicit

No

First episode

12 Nov 2025

Latest episode

7 Oct 2026

Latest episodes

16 episodes in the feed.

1. 

   7 Oct 2026

   Will Radiologists Build Their Own AI? | Dr. Peter Chang

   In this special SIIM-CAIMI series episode of Scanning the Market, host Jay Gurney sits down with Dr. Peter Chang—radiologist, software engineer, co-founder of the Center for Artificial Intelligence in Diagnostic Medicine (CAIDM) at UC Irvine, and CAIMI co-chair.Dr. Chang breaks down a startling shift in medical software development: why 99% of his code is now AI-generated and what happens to healthcare innovation when the barrier to building complex software collapses. Moving past the mechanics of coding syntax, this discussion examines why narrow, expensive point solutions will face margin compression, how the value chain is pivoting toward orchestration and native workflows, and why clinical governance must evolve to evaluate non-deterministic, agentic systems.Key Topics Covered in This Episode:-99% AI-Generated Code: How coding agents shifted from toy tools to production-grade accelerators capable of building medical vision models over a weekend.-The Crucial 1%: Why human engineering principles, architectural steering, and domain intuition matter more than syntax and prompt engineering.-Democratizing Medical Software: What happens when clinicians can pull open-source models, tweak repositories, and solve niche clinical problems directly.-The Death of Overpriced Point Solutions: Why charging hundreds of thousands of dollars for narrow, single-finding models is becoming economically unsustainable.-Shifting Value to Orchestration: Why the algorithm itself is becoming a commodity while routing, data flow, inference scaling, and PACS/reporting integration capture value.-Dynamic vs. Deterministic Governance: The friction between static FDA clearances and real-world clinical software that auto-heals and updates continuously.-Evaluating the Human-AI Team: Moving beyond isolated model benchmarks to evaluate how specific clinicians perform when paired with AI assistants.-CAIMI 2026 Preview: Exploring the AI Builder Showcase and creative agentic workflows in Philadelphia.

2. 

   30 Sept 2026

   How Health Systems Actually Deploy and Govern AI | Dr. Katherine Andriole

   In this special SIIM-CAIMI series episode of Scanning the Market, host Jay Gurney sits down with Dr. Katherine (Kathy) Andriole—Associate Dean for Health AI Strategy and Innovation at the David Geffen School of Medicine at UCLA and former Director of Academic Research and Education at Mass General Brigham AI.With decades of experience driving clinical AI implementation and imaging informatics, Dr. Andriole moves beyond the excitement of standalone algorithms to examine how health systems must build coherent enterprise AI strategies. She breaks down why healthcare must look beyond narrow detection tools to workflow and risk prediction, how cross-functional governance models evaluate risk vs. innovation, and what it takes to deploy, validate, and monitor clinical tools at enterprise scale.Key Topics Covered in This Episode:-Stepping Beyond Radiology: What the broader enterprise can learn from radiology’s early adoption mistakes, including avoiding narrow one-off deployments and insisting on standards like DICOM and HL7 FHIR.-Enterprise Strategy vs. AI Projects: Why health systems need cohesive strategy over isolated tools, moving from pure detection to risk prediction, agentic AI, and back-office efficiency.-Two-Tier Governance in Practice: Balancing patient privacy, security, and innovation using tiered evaluation frameworks (from routine collaborations to enterprise data sharing).-Redefining Clinical ROI: Why AUC and model accuracy are not ROI, and how real value must be measured in clinician work-life, length of stay, and patient safety.-Post-Deployment Realities: Collective responsibility in real-time model monitoring, testing via shadow mode pipelines, and preventing model drift.-AI Literacy and "No-Skilling": Designing education frameworks for medical students and residents that teach foundational AI mechanics without eroding core clinical judgment.-Translational Research & CAIMI 2026: Bridging the final gap between lab models and real-world clinical workflows through true vendor-hospital partnerships.

3. 

   28 Sept 2026

   The App Store for Radiology AI: Scaling Adoption with Dhruv Sahai | Scanning the Market

   In this episode of Scanning the Market, host Jay Gurney sits down with Dhruv Sahai, Chief Operating Officer and "AI Matchmaker" at CARPL.ai. Transitioning from corporate M&A law and supply chain risk consulting into healthtech, Dhruv shares an operator’s perspective on what it really takes to scale clinical AI adoption across global healthcare systems.Dhruv breaks down why having hundreds of AI point solutions isn't the problem—the real bottleneck is the lack of seamless validation, single-layer integration, and post-deployment monitoring. From CARPL's $10M Series A round led by the World Bank's IFC to enabling multi-specialty expansion beyond radiology, this conversation cuts through the sales hype to focus on clinical sustainability and patient access.Key Topics Covered in This Episode:From Corporate Law to HealthTech COO: How a background in cross-border M&A and regulatory compliance translates to running an enterprise AI platform.The "App Store" Model for Radiology: Why CARPL operates as an open marketplace of 300+ solutions rather than a walled garden.The Full AI Lifecycle: Moving beyond deployment into retrospective validation on local hospital data and real-time post-deployment monitoring.Partners vs. Vendors: Why CARPL shares its sales pipeline with algorithm developers and acts as an enablement bridge rather than a transactional reseller.The Clinical vs. Commercial Divide: What separates clinically accurate models from sustainable, commercial products that fit radiologist workflows.Funding & Global Scaling: What a $10M Series A backed by the IFC means for expanding across emerging and mature healthcare markets.The Impact of Foundation Models: Why generalist models complement enterprise deployment platforms instead of replacing them.

4. 

   24 Sept 2026

   Beyond Model Performance: What Actually Drives Imaging AI ROI? | Dr. Hari Trivedi

   In this special SIIM-CAIMI series episode of Scanning the Market, host Jay Gurney sits down with Dr. Hari Trivedi—Associate Professor of Radiology and Biomedical Informatics and AI Council Chair at Emory Healthcare. Together, they cut through the hype around model performance metrics to examine whether imaging AI is finally delivering measurable clinical and financial ROI. Dr. Trivedi breaks down why high-performing diagnostic algorithms often fail to prove positive financial returns in US fee-for-service systems, why non-interpretive and acquisition models see faster adoption, and what it really costs health systems to run prospective validation and continuous post-deployment monitoring. Key Discussion Points:Redefining ROI in Healthcare: Why diagnostic detection models struggle to show direct dollar returns compared to non-interpretive tools (impression generation, report structuring, and scan acceleration). The Fee-for-Service Dilemma: The fundamental misalignment between patients, health systems, and payers when AI reduces unnecessary tests or procedures. Emory's Evaluation Process: How Emory’s AI Council screens commercial solutions, why 510(k) summaries leave critical gaps, and how peer feedback often outweighs marketing data. The Reality of Post-Deployment Monitoring: The hidden operational costs, data harmonization challenges, and lack of commercial incentives for long-term model surveillance. The Death of Narrow Point Solutions: Why health systems are moving away from single-finding models toward unified enterprise platforms and native PACS integrations. The Shift from Science to Practical Value: Why vendor booths at SIIM, RSNA, and CAIMI have moved away from AUC numbers toward operational impact and workflow efficiency.

5. 

   16 Sept 2026

   Can AI solve radiology's capacity challenge? With Dr. Tessa Cook

   In this episode of Scanning the Market: CAIMI Conversations, I sit down with Dr. Tessa Cook, Associate Professor of Radiology at Penn Medicine, to ask a pretty simple question with a much harder answer: Can AI actually solve radiology’s capacity challenge? We get into where the real bottlenecks are today, why the biggest productivity gains may come from everything around image interpretation rather than the image itself, and what tools like generative EHR search, ambient reporting and foundation models could realistically change inside the reading room. We also cover the less glamorous but more important part of AI adoption: workflow friction, trust, monitoring, model drift, governance and whether efficiency gains actually improve life for radiologists or simply result in more work. A few of the areas we cover: Why rising imaging volumes and workforce pressure have created a capacity problem that recruitment alone probably won’t solve Where AI is already saving time in clinical workflows Why non-interpretive tasks may deliver more immediate value than another detection algorithm How generative AI and foundation models could reshape reporting and workflow What good AI governance and post-deployment monitoring should actually look like The balance between productivity, quality and radiologist wellbeing This episode is also part of our wider partnership with SIIM ahead of CAIMI 2026, taking place October 26–27 in Philadelphia. CAIMI is built around exactly these kinds of conversations: what is genuinely working in imaging AI, what still needs to be pressure-tested, and how we move from interesting research into something that actually survives inside a health system. We’ll be releasing more conversations with leaders across imaging AI in the run-up to the event. #ScanningTheMarket #CAIMI2026 #SIIM #RadiologyAI #ImagingAI #HealthcareAI

6. 

   3 Sept 2026

   How Hospitals Buy, Deploy & Measure AI with Peter Eason | Scanning the Market

   In this episode of Scanning the Market, host Jay Gurney sits down with Peter Eason from Ferrum Health to discuss the realities of buying, deploying, and governing clinical AI in modern health systems. Moving beyond marketing buzzwords, Peter shares an operations and finance perspective on how hospitals actually evaluate software, quantify return on investment, and make AI stick in clinical workflows.Key Discussion Points: - Finance to Healthcare Ops: What transition from investment banking to healthcare ops reveals about venture capital, unit economics, and sustainable business models. - The "Last-Mile" Problem: Why deploying individual AI point solutions creates duplicative infrastructure costs—and the case for an enterprise enablement fabric. - Observability & Ground Truth: Moving past static FDA clearances to measure model performance, drift, and clinical efficacy on local hospital data in real time. - What Hospital CFOs Actually Care About: Navigating reimbursement codes, cost avoidance, incidental findings, and realistic ROI models. - Practical AI Governance: Why healthcare doesn't need another theoretical framework, but rather automated tools to monitor what is actually happening post-deployment. - Market Outlook: The rise of foundation models in clinical settings and why spending on data analytics and observability will outpace new point solutions. #Radiology #HealthcareAI #HealthTech #MedicalImaging #ClinicalAI #FerrumHealth #ScanningTheMarket

7. 

   13 Aug 2026

   How AI and Low-Field MRI Are Transforming Global Healthcare | Thomas Campbell

   In this episode of Scanning the Market, host Jay Gurney sits down with Thomas Campbell (Subtle Medical & Rad-Access) to discuss the evolving landscape of medical imaging, low-field MRI technology, and the real-world impact of AI in radiology.Thomas shares his journey from neuroscience research to clinical imaging and breaks down how low-field MRI and AI-driven workflow tools are solving key challenges in healthcare—from improving scanner efficiency to expanding global access to diagnostic imaging.Key Topics Covered in This Episode:- Understanding Low-Field MRI: How weaker magnets combined with deep learning software are making scanners more accessible, portable, and cost-effective.- Proving ROI in Radiology AI: Why hardware acceleration, reader efficiency, and quantifiable clinical return are driving adoption faster than pure diagnostic tools.- Global Imaging Access Beyond Hardware: Addressing the global radiologist shortage, training infrastructure, and how technology can help bridge the gap.- The Future of Medical Imaging: The rise of vision-language models (VLMs), automated report drafting, and opportunistic screening pipelines.Connect & Resources:- Follow Thomas Campbell’s work and subscribe to the Rad-Access newsletter for actionable research breakdowns in radiology.- Subscribe to Scanning the Market for more discussions at the intersection of medical imaging, technology, and health tech commercialization.#radiology #medicalimaging #healthtech #aiinhealthcare #mri #RadAccess #ScanningTheMarket

8. 

   30 Jul 2026

   How AIRS Medical is Transforming MRI with AI | Jason Park, CEO

   AI is reshaping medical imaging but what does it take to turn breakthrough technology into a global healthcare standard?In this episode of Scanning the Market, host Jay Gurney is joined by Jason Park, CEO of AIRS Medical, to explore how AI is helping hospitals unlock more capacity from existing MRI scanners without compromising image quality.Jason shares his unconventional journey from law and finance into MedTech leadership, the challenges of scaling a healthcare AI company across 45 countries and why improving MRI efficiency could be one of the biggest opportunities in modern healthcare. The conversation also dives into product innovation, commercial strategy, global expansion, and AIRS Medical's vision of making AI-powered MRI the new standard of care.In this episode:- Jason Park's journey to CEO of AIRS Medical- How SwiftMR increases MRI capacity and improves efficiency- The business case for AI in hospitals and imaging centres- Breaking into global healthcare markets- Why image standardisation is the next frontier in MRI- AIRS Medical's vision for preventative healthcare and what's coming next If you enjoy conversations on medical imaging, healthcare AI, and the future of diagnostic technology, be sure to subscribe to Scanning the Market for more interviews with leaders shaping the industry.

9. 

   13 Jul 2026

   The Future of Medical Imaging with Dr Nicco Stefani

   Discover how AI is reshaping the future of medical imaging with Dr Nicco Stefani, Chief Medical Officer at DeepHealth. In this episode of Scanning the Market, Dr Nicco Stefani joins Jay Gurney to discuss why the future of radiology isn't about individual AI algorithms—it's about building an intelligent operating system that connects workflow, reporting, diagnostics and patient care. They explore: Why DeepHealth is taking a platform-first approach to AI How RadNet's clinical network is accelerating innovation The challenge of AI adoption in healthcare Why workflow integration matters more than standalone algorithms The role of acquisitions in building an end-to-end imaging ecosystem How real-world clinical outcomes are shaping the future of AI in radiology Whether you're working in MedTech, radiology, AI, or healthcare innovation, this episode offers a fascinating look at where imaging is heading next.

10. 

    18 May 2026

    Scaling Radiology with AI: Kirill Lopatin on Solving the Capacity Crisis

    In this episode of Scanning the Market, Jay Gurney is joined by Kirill Lopatin to explore the realities of AI adoption in radiology. They break down why most AI solutions fail to reach production, the true bottlenecks facing radiology practices, and why improving economics—not just accuracy—is key to success. Kirill shares insights on burnout, workforce shortages, and how “ready-to-sign” reporting could reshape workflows. The conversation also dives into the future of radiology, the risks of AI failure vs. over-reliance, and what practices must do today to stay competitive in a rapidly evolving market.

11. 

    7 May 2026

    The Future of Radiology AI with Dr. Amine Korchi

    In this episode of Scanning the Market, host Jay Gurney sits down with radiologist and healthcare innovator Amine Korchi to explore the evolving world of radiology AI.Amine shares his journey from clinical practice into the business and investment side of healthcare, offering a unique perspective on how AI is reshaping the industry. The conversation dives into why radiology became the focal point for AI in healthcare, the shift from point solutions to platforms, and what truly drives adoption in clinical settings.They also unpack the realities behind investment cycles, the challenges of implementing AI in hospitals, and why “slow” adoption may actually be right on time for healthcare. Looking ahead, Amine discusses the rise of multimodal AI, predictive diagnostics, and how radiologists’ roles will evolve in an AI-powered future.A must-listen for anyone interested in healthcare innovation, medical AI, and where the market is heading next.

12. 

    9 Mar 2026

    How to Build a $1B Dollar AI Startup with AIDOC Chief Business Officer, Tom Valent

    In this episode, Jay Gurney sits down with Tom Valent, Chief Commercial Officer at AIDOC, to explore what it really takes to build and scale AI in healthcare. From AIDOC’s early days as a single-algorithm startup to becoming a 500-person company powering over 100 million patient cases, Tom shares the behind-the-scenes realities of scaling clinical AI. They dive into the difference between FDA clearance and true production-grade AI, why infrastructure matters more than algorithms, and how AIDOC evolved into a full AI operating system for radiology. The conversation also covers foundation models, alert fatigue, AI-driven workflow transformation, commercialization challenges, IPO ambitions, and what the radiologist’s day could look like in three years. If you're building in healthcare AI — or trying to understand where the space is heading — this is one you won’t want to miss.

13. 

    11 Feb 2026

    How to Navigate Hospital politics, workflow integration and breaking into the US Market with Thomas Bertinotti

    In this episode, Jay sits down with Thomas Bertinotti from TheraPixel to unpack a decade-long journey building real-world AI for radiology. From breaking into the US market as a European startup, to navigating hospital politics, workflow integration, and product-market fit, Thomas shares what it actually takes to scale medical AI. They dive into foundation models, automation vs augmentation, why ROI matters more than hype, and the hard lessons learned from turning research into production-ready healthcare software. A must-listen for anyone building in AI, health tech, or enterprise software.

14. 

    21 Jan 2026

    Why Radiology AI Needs Orchestration, Not More Algorithms with Jay Gurney and Franz Pfister

    AI in radiology is moving fast, but not in the way most people think. More algorithms have not made hospitals smarter. They have made them more overwhelmed.In this episode, Jay Gurney sits down with Franz, co-founder of DeepC AI, to unpack why access to AI is no longer the problem and why fragmentation is. They explore how hospitals are drowning in disconnected tools, why deploying dozens of models creates new bottlenecks, and why the future is shifting from single-use algorithms to full AI orchestration.Franz explains the rise of foundation models, the reality of decentralised AI development inside hospitals, and how DeepC’s assistant Ada delivers real-time, context-aware intelligence directly into clinical workflows.If you want to understand where medical AI is actually heading and what it takes to make it work at scale, this episode is essential listening.

15. 

    15 Dec 2025

    The Long Game in HealthTech: Riverain CEO Steve Worrell on Growth Without Burnout

    ⁠Scanning the Market⁠ (https://www.linkedin.com/newsletters/scanning-the-market-7321257200901861378/) is your go-to pulse on the rapidly evolving radiology world. It cuts straight to the real conversations shaping the future of healthcare, AI, and innovation. In this episode of Scanning the Marketing, host Jay Gurney (https://www.linkedin.com/in/jay-the-radiology-recruiter/) chats with Steve Worrell (https://www.linkedin.com/in/steve-worrell-30098348), CEO of Riverain (https://www.riveraintech.com/about/), a company revolutionising radiology through AI and image enhancement. From his early days in military machine learning to becoming a pioneer in CAD for breast imaging, Steve shares the long journey that led him to Riverain. This conversation explores how Riverain has remained profitable by focusing on precision, product quality, and sustainable growth - eschewing the typical VC-backed trajectory of many medtech startups. Steve explains why their AI innovations like vessel suppression stand out, how radiologists are driving product decisions, and why hiring slowly with intention is a non-negotiable. Whether you’re a founder, technologist, or just fascinated by the future of diagnostics, this episode offers hard-earned wisdom on scaling in a complex and high-stakes market. What You’ll Learn: 1. Why Good Tech Alone Isn’t Enough Steve shares that a high-performing AI tool must also be seamlessly integrated into radiologists’ workflows. Products that feel like an afterthought won’t gain traction, no matter how accurate they are. 2. Staying Lean and Profitable in HealthTech Unlike many peers, Riverain has grown without overextending. Steve discusses the pitfalls of hypergrowth, the risks of overhiring, and the benefits of “killing what you eat.” 3. The Power of Clinical Collaboration Riverain’s roadmap isn’t dictated by engineers alone. Clinical advisory boards help vet ideas early, ensuring tools address real-world needs and deliver ROI for providers. About the Guest: Steve Worrell is the CEO of Riverain Technologies, where he leads a lean, innovation-focused team developing advanced AI tools for radiology. With roots in military research and an early role in breast imaging at ICAD, Steve brings decades of experience at the intersection of machine learning and medical diagnostics. Under his leadership, Riverain has achieved rare profitability while continuing to innovate, with tools like vessel suppression and nodule detection helping radiologists interpret chest scans more efficiently and accurately. Steve believes in playing the long game—building sustainable products that solve real problems for clinicians. 🔗 Links and Resources: Steve Worrell on LinkedIn (https://www.linkedin.com/in/steve-worrell-30098348/) Jay Gurney on LinkedIn (https://www.linkedin.com/in/jay-the-radiology-recruiter/) Projectus (www.projectusconsulting.com) Riverain Technologies (https://www.riveraintech.com/) Timestamps: 00:00 – Intro and tech challenges getting started 03:00 – Steve’s early AI work and transition from military to healthcare 08:00 – Why Steve joined Riverain and what made it appealing 14:00 – Hiring smart: the challenge of finding the right people 20:00 – Workflow vs diagnostic AI: what actually gets adopted 25:00 – Radiologist-first development: the role of bone/vessel suppression 32:00 – When to kill a product: lessons from clinical trial results 40:00 – The trap of scaling too fast: VC pressures vs market reality 48:00 – Running lean: how 34 people doubled ARR year after year 54:00 – What’s next for Riverain and why they’re staying focused 🔑 Keywords:AI in healthcare, diagnostic imaging, radiology, Riverain, lung nodules, vessel suppression, Steve Worrell, medical startups, scaling a business, clinical workflow, profitable startups, RSNA, deep tech, product-market fit, VC funding, radiologist tools, startup hiring, chest imaging, medtech growth

16. 

    12 Nov 2025

    Building Teams and Tech That Scale: Jina Park on AI, Growth, and Grit

    Scanning the Market (https://www.linkedin.com/newsletters/scanning-the-market-7321257200901861378/) is your go-to pulse on the rapidly evolving radiology world. It cuts straight to the real conversations shaping the future of healthcare, AI, and innovation. Hosted by Jay Gurney (https://www.linkedin.com/in/jay-the-radiology-recruiter/), each episode dives into the stories behind the people building the companies that matter - the risk-takers, the thinkers, and the leaders who trade comfort for curiosity. In this episode, Jay Gurney sits down with Jina Park (https://www.linkedin.com/in/jinapark89/), Chief Strategy Officer at AIRS Medical (https://airsmed.com/), for a deep dive into her unconventional path from pharmacy to tech leadership. Jina shares how her early experience in healthcare and data analytics evolved into leading one of the fastest-growing radiology AI startups. From negotiating with payers at Novartis to building AI solutions at Komodo and Airs, she unpacks how being values-driven, detail-oriented, and scrappy helped her scale fast. Jina also offers candid advice on hiring, sales performance, and building a high-accountability culture. Whether you're scaling a startup, breaking into AI, or managing technical sales teams, this episode is a masterclass in operational grit and strategic thinking. 📕 What You’ll Learn 1. The Power of Non-Traditional Career Paths Jina explains how her foundation in pharmacy and data analytics gave her a competitive edge in building AI products that actually solve clinical and commercial problems. 2. Scaling Startups with a Ground-Up Mentality From packing marketing mailers at home to traveling 100% with a team of seven, Jina outlines the mindset and operational strategies that fueled Airs' explosive growth. 3. Building High-Performing Sales Teams in Complex MarketsShe reveals the rigorous hiring rubric Airs uses, the importance of product-market fit, and why every job is a sales job—especially in AI. 👤 About the Guest Jina Park is the Chief Strategy Officer at Airs, an AI company transforming radiology workflows. With a background in pharmacy, data science, and commercial strategy, she previously held leadership roles at Novartis and Komodo Health. Known for her blend of deep technical knowledge and startup grit, Jina has helped scale Airs from seven employees to over 25 while tripling the install base in a year. She’s passionate about building teams that are agile, performance-driven, and customer-obsessed. 🔗 Links and resources Jina Park: LinkedIn (https://www.linkedin.com/in/jinapark89/) Jay Gurney: LinkedIn (https://www.linkedin.com/in/jay-the-radiology-recruiter/) AIRS Medical: Website (https://airsmed.com/) ⏱️ Time Stamps [00:06:25] – Vetting leadership hires and team fit [00:10:42] – Jina’s academic journey from pharmacy to data science [00:14:06] – Learning healthcare by following the money [00:18:44] – Leaving Komodo for a 25% pay cut to join Airs [00:23:13] – How Ayers built a rigorous sales training system [00:29:00] – What makes startup hires succeed or fail [00:33:11] – Sacrificing early to build a self-sustaining business [00:41:17] – The ROI-first mindset behind product development [00:47:54] – Jina’s outlook on the next wave: robotics and personalization [00:53:40] – The next guest question: best market outside the US? 🔑 Keywords Radiology, AI, Startup Growth, Sales Strategy, Leadership, Healthcare Analytics, Medical Imaging, Deep Learning, MRI, Team Building, Product Market Fit, Digital Health, Innovation, Predictive Analytics, Sales Enablement, Organizational Culture

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Based on episode analysis; this does not confirm that the show is currently accepting guests.