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175,000 women just proved AI catches cancers doctors miss.
Imperial College London dropped game-changing results this week.
Their NHS study with Google AI didn’t just match radiologists, it surpassed them:
• Detected 25% of interval cancers humans missed
• Found more invasive cancers overall
• Cut false positives (fewer unnecessary callbacks)
• Reduced reading time by nearly a third
Think about that. One in four cancers that would have grown undetected until the next screening, now caught early.
But here’s what struck me most:
In Scotland, the Mia AI system found a tiny aggressive tumor in a patient that two experienced radiologists completely missed. That’s not replacing doctors, that’s saving lives they couldn’t save alone.
The numbers are staggering across multiple NHS trials:
• NHS Grampian: 10.4% detection boost
• Reading time cut: 31%
• Detection rate jump: 7.54 to 9.33 per 1,000 women
We’re witnessing the biggest shift in cancer screening since digital mammography.
📊 The NHS EDITH trial is now testing 5 AI systems across 30 sites, screening 700,000+ women. This isn’t pilot phase anymore, this is transformation at scale.
For imaging centers and FQHCs struggling with radiologist shortages, this changes everything. AI as your second reader means faster results, fewer burnouts, better outcomes.
The question isn’t whether to adopt AI anymore.
It’s how fast you can implement it before your competitors do.
♻️ Repost if catching cancer 3 days vs 14 days matters
👉 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.
