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This AI just changed breast cancer surgery forever.
The FDA just approved Claire, the first AI-powered device that lets surgeons see cancer margins in real-time during breast surgery.
Here’s why this matters:
📊 Current reality: Up to 30% of breast cancer patients need a second surgery because surgeons can’t see if they got all the cancer during the first operation.
The breakthrough: Perimeter Medical Imaging’s Claire uses wide-field optical coherence tomography (OCT) combined with AI trained on over 2 million images. Surgeons can now assess tissue margins instantly, right in the operating room.
Think about what this means for patients:
• One surgery instead of two
• Faster recovery times
• Lower healthcare costs
• Reduced emotional trauma
• Better cosmetic outcomes
This isn’t just another AI announcement. This is AI solving a decades-old surgical challenge that affects 300,000+ women annually in the U.S. alone.
The technology works like an ultrasound for cancer margins, giving surgeons superhuman vision when it matters most.
What excites me most? This shows how AI should work in healthcare: not replacing doctors, but giving them tools that were previously impossible. Real-time tissue assessment during surgery was science fiction just 5 years ago.
As this rolls out nationwide, we’re looking at potentially preventing 90,000 repeat surgeries annually. That’s 90,000 women who won’t need to go through the physical and emotional burden of a second operation.
The real revolution in healthcare AI isn’t chatbots or administrative tools. It’s technologies like Claire that fundamentally change what’s possible in the operating room.
This is what meaningful innovation looks like: solving real problems for real patients with measurable outcomes.
♻️ Repost if you believe AI should enhance surgical precision, not replace surgeons
👉 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.
