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.

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.

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.

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.

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.

⁠Scanning the Market⁠ 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 chats with Steve Worrell, CEO of Riverain, 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
• Jay Gurney on LinkedIn
• Projectus
• Riverain Technologies




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

Scanning the Market 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, 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, Chief Strategy Officer at AIRS Medical, 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

• Jay Gurney: LinkedIn

• AIRS Medical: Website

  ⏱️ 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