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FDA just said ‘no’ to fast-tracking AI radiology tools.
And radiologists everywhere should be paying attention.
Yesterday, the FDA rejected a manufacturer’s petition to exempt certain AI radiology tools from the 510(k) premarket clearance process. The proposal would have let AI computer-aided detection devices skip independent safety reviews if they met basic monitoring requirements.
The medical community pushed back hard:
• RSNA warned it would expose patients to “avoidable risk”
• ACR demanded patient safety remain the priority
• AHA highlighted unique AI risks: bias, hallucinations, model drift
Here’s what makes this decision fascinating:
We’re in an administration that promised deregulation. Yet the FDA is doubling down on oversight.
Why? Because AI in radiology isn’t like traditional software.
The same AI model can behave differently across hospitals, patient populations, and imaging protocols, even without updates. A JAMA analysis found that fewer than one-third of FDA-approved radiology AI tools underwent clinical testing. Even fewer were tested in real clinical settings.
Think about that: We’re using AI to detect cancers, strokes, and heart disease with limited real-world validation.
The FDA’s message is clear: Innovation without validation is experimentation on patients.
But here’s the paradox: 54% of radiology AI renewals happen because they improve radiologist quality of life, not because of proven ROI. We’re buying these tools for efficiency, not necessarily effectiveness.
This rejection isn’t about stopping innovation. It’s about ensuring the AI revolution in radiology doesn’t become a patient safety crisis.
The real question: Can we build trust in AI diagnostics while maintaining the speed of innovation?
What’s your take: Is the FDA protecting patients or slowing progress?
♻️ Repost if AI in healthcare needs rigorous safety standards
👉 Follow me, Jonathan Govette, for daily, real-time updates on healthcare technology and business news. LinkedIn Profile: https://www.linkedin.com/in/jonathangovette/
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Author:
Jonathan Govette is a seasoned healthcare and technology executive with more than two decades of experience building, scaling, and advising digital health companies. He is the Co-Founder and CEO of Oatmeal Health, an AI-driven Lung Cancer Screening and Diagnostics company focused on expanding access to early detection for underrepresented populations, particularly patients served by Federally Qualified Health Centers and value-based health plans.
With a background in engineering, product development, and strategic partnerships, Jonathan has founded and led multiple health technology ventures across clinical care delivery, regulated medical software, and AI-enabled diagnostics. His work sits at the intersection of medicine, technology, and health equity, with a consistent focus on translating complex clinical problems into scalable, real-world solutions.
Jonathan has spent much of his professional life dedicated to improving outcomes for marginalized and underserved communities. He has designed and implemented frameworks that align clinical quality, reimbursement, and technology to sustainably advance health equity at scale. This mission is deeply personal and informs his leadership philosophy and long-term vision for healthcare transformation.
In addition to his operating experience, Jonathan is an author and long-time writer in the healthcare domain, with over 20 years of published work covering digital health, medical innovation, and healthcare systems. He is a frequent mentor to early-stage founders and regularly advises startups on product strategy, partnerships, and go-to-market execution in regulated healthcare environments.
Before entering industry full-time, Jonathan nearly pursued a career in medicine with an early path toward cardiothoracic surgery, an experience that continues to shape his clinical perspective and respect for frontline care delivery.
CEO | Oatmeal Health | AI Lung Cancer Startup | Engineer | Writer | Almost Became a Doctor (Cardiac Thoracic Surgeon) | 3x Health Tech Founder | Startup Mentor | Follow to share what I’ve learned along the way.
