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The FDA just unleashed thousands of AI health tools overnight.
On January 6, Commissioner Marty Makary announced sweeping deregulation that exempts wellness apps, wearables, and certain clinical decision support tools from FDA oversight.
This isn’t a minor adjustment, it’s a seismic shift.
What changed:
• Single-recommendation AI tools can skip FDA review if deemed “informational”
• Long-term risk predictors (like cardiovascular risk) are now exempt
• Wellness and fitness wearables face minimal oversight
• Digital health companies can access Medicare patients through the new TEMPO pilot
The dividing line? Time sensitivity and data complexity.
AI that predicts your 10-year heart disease risk? No FDA review needed.
AI that predicts risk within 24 hours or uses genomics? Still regulated.
This creates an interesting paradox: the same algorithm could be regulated or unregulated based solely on its output timeframe.
📊 Consider the scale: Over 1,357 AI medical devices were already FDA-cleared. Now thousands more can bypass that process entirely.
For innovators, this is liberation. Silicon Valley speed meets healthcare.
For patients, it’s complicated. More access to AI tools, but less regulatory validation.
For health systems? They’re now the de facto gatekeepers, deciding which unregulated AI tools are safe enough for their patients.
The real question isn’t whether this accelerates innovation (it will), but whether health systems are ready to become the primary safety validators for consumer AI.
We’re entering uncharted territory where your fitness tracker might diagnose conditions your doctor hasn’t considered, and there’s no FDA in between.
This could democratize healthcare AI or create a wild west of unvalidated algorithms. Probably both.
♻️ Repost if healthcare AI needs smart guardrails, not red tape
👉 Follow me, Jonathan Govette, for 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.
