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One AI just replaced 14 radiology tools. Game changer or hype?
Yesterday changed radiology forever.
The FDA cleared Aidoc’s CARE foundation model, the first AI to detect 14 acute conditions from a single abdominal CT scan.
Think about what this means:
Instead of running separate AI tools for appendicitis, bowel obstruction, liver injury, spleen trauma, and 10 other conditions, radiologists now have ONE system that catches everything.
📊 The numbers are staggering:
• 97% sensitivity (up to 98.5%)
• 98% specificity (up to 99.7%)
• 10x fewer false alerts than single-condition tools
• 100 million patient cases already analyzed
But here’s what really matters:
Emergency departments are drowning. Imaging backlogs are killing patient flow. Radiologists are reading scans on a first-come, first-served basis while critical cases sit in queue.
This AI changes that equation.
It pulls urgent findings to the front of the line. Automatically. A patient with internal bleeding doesn’t wait behind 20 stable cases anymore.
Yet the real breakthrough isn’t the technology, it’s the approach.
For years, we’ve been bolting on single-purpose AI tools like adding apps to a phone. Each one solved one problem. Integration was a nightmare. Alert fatigue was real.
Aidoc just proved foundation models work in clinical practice.
One model. Multiple conditions. Better accuracy.
This is how AI actually scales in healthcare: not through hundreds of narrow tools, but through comprehensive systems that match how clinicians think.
The question isn’t whether this transforms emergency radiology.
It’s whether other specialties are paying attention.
Because if a single AI can master 14 acute abdominal conditions, what’s stopping it from learning chest, brain, or musculoskeletal imaging next?
We just witnessed the iPhone moment for medical AI.
The consolidation has begun.
♻️ Repost if emergency departments need AI triage yesterday
👉 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/
