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Imagine detecting pancreatic cancer 3 years before symptoms appear.
That’s exactly what Mayo Clinic just made possible.
Their new AI tool, REDMOD, just shattered expectations by spotting pancreatic cancer on routine CT scans with 73% accuracy, while human radiologists only caught 39% of the same cases.
Here’s what makes this revolutionary:
The AI doesn’t need special scans. It reads the same routine CTs already sitting in your PACS system.
It’s nearly 3x more sensitive than radiologists when looking 2+ years before diagnosis.
It maintains 90-92% consistency on repeat scans, eliminating the variability we see with human readers.
💡 The game-changer? This turns every abdominal CT into a potential early detection opportunity.
Think about the implications for your imaging center or hospital:
• Every patient getting a CT for kidney stones could be screened for pancreatic cancer
• No additional imaging costs or radiation exposure
• Early detection shifts treatment from palliative to potentially curative
Pancreatic cancer has a 5-year survival rate under 12%. Why? Because we catch it too late.
But when detected early, that survival rate jumps to over 40%.
This isn’t about replacing radiologists. It’s about giving them superpowers to catch what the human eye simply can’t see years in advance.
The precision exceeds UK NICE guidelines by 12x (36% vs 3% threshold), making it clinically viable today, not someday.
For FQHCs and community hospitals serving high-risk populations, this levels the playing field. You don’t need a specialized cancer center to offer cutting-edge early detection anymore.
The real question isn’t whether we’ll adopt AI in radiology.
It’s whether we can afford not to when lives hang in the balance.
♻️ Repost if early cancer detection should be a standard of care, not a luxury.
👉 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:
CEO/Co-Founder @ Oatmeal Health | AI Lung Cancer Screening | Almost Became a Doctor | Engineer | Follow to Share What I’ve Learned Along the Way
I help patients get the care they need earlier, preventing late-stage cancer.
That’s been the throughline across three companies and almost 20 years in healthcare. At ReferralMD, we fixed broken referral networks so patients didn’t fall through the cracks. At Oatmeal Health, it’s lung cancer: building the diagnostic and screening infrastructure so the 85% of cases caught too late get caught early instead.
Today as CEO of Oatmeal Health, I lead a team embedding AI into radiology workflows to turn routine lung CT scans into reimbursable cancer risk assessments. We partner with FQHCs to reach underserved communities, and with health systems and payers to make early detection economically sustainable. Think HeartFlow or Cleerly, but for lungs.
Between companies, I advised at Techstars and Plug and Play, mentoring founders building in digital health. That experience shaped how I think about what separates companies that ship from companies that stall: distribution, reimbursement, and clinical trust, not just technology.
I’m a CancerX alumnus, a 3x healthcare founder, and someone who believes the biggest problems in cancer aren’t scientific. They’re operational.
We’re hiring mission-driven builders at Oatmeal Health. If you want to work on something that matters, reach out.
When I’m not working, I’m traveling, mentoring, and keeping up with one very energetic husky. 🐾
Substack – The Oatmeal Bite:
Millions of patients get less care because of who they are, where they live, or how they look. I’m fighting to change that. CEO @OatmealHealth, a startup built for the underserved. The Oatmeal Bite: intel for clinicians, investors, and advocates.
Jonathan Govette
CEO of Oatmeal Health
Substack:
https://oatmealhealthjonathangovette.substack.com/
