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Your mammogram just got 21.6% better at finding cancer.
But here’s the twist: patients don’t trust AI alone.
A groundbreaking study of 579,000 women just revealed that AI-supported breast cancer screening boosts detection rates by over one-fifth compared to standard 3D mammography. That’s thousands of cancers caught earlier, when treatment works best.
Even more impressive? AI can now identify women at high risk for interval cancers (those sneaky ones that appear between regular screenings). Focus supplemental imaging on the top 20% of AI risk scores, and you catch 42.4% of these hidden cancers.
📊 The numbers are staggering:
• Market growth from $320M to $441M by 2031
• Mayo Clinic radiologists reading mammograms 35% faster with AI
• One AI system now detects both breast cancer AND heart disease risk in the same scan
But here’s what fascinated me most:
71.5% of patients support AI helping read their mammograms.
Only 6.6% would trust AI as the sole reader.
60% would rather wait for a human radiologist than get immediate AI results.
This isn’t about replacing radiologists. It’s about giving them superpowers.
Think about it: We’re entering an era where your routine mammogram becomes a comprehensive health assessment. Breast arterial calcifications spotted during cancer screening now flag cardiovascular risks. One scan, multiple life-saving insights.
The future of radiology isn’t AI or humans.
It’s AI and humans, working together to catch what neither could see alone.
For healthcare leaders: This is your blueprint for AI adoption. Patients want technology that enhances human expertise, not replaces it. Build trust by keeping humans in the loop while leveraging AI’s pattern recognition capabilities.
The best healthcare technology makes doctors better, not obsolete.
♻️ Repost if early cancer detection should leverage both AI precision and human judgment
👉 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/
