Scanning the Market

Projectus Consulting
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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.

  1. 3d ago

    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. Sep 30

    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. Sep 28

    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. Sep 24

    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. Sep 16

    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 solveWhere AI is already saving time in clinical workflowsWhy non-interpretive tasks may deliver more immediate value than another detection algorithmHow generative AI and foundation models could reshape reporting and workflowWhat good AI governance and post-deployment monitoring should actually look likeThe 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. Sep 3

    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. Aug 13

    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. Jul 30

    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.

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About

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.

Information

  • Creator
    Projectus Consulting
  • Years Active
    2025 - 2026
  • Episodes
    16
  • Rating
    Clean
  • Copyright
    © Projectus Consulting
  • Show Website
    Scanning the Market