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Your brain MRI could be read in seconds, not days.
That’s not a dream anymore.
University of Michigan just dropped Prima AI, and it’s reading brain scans faster than you can grab your morning coffee. 97.5% accuracy across 50+ neurological conditions. In seconds. Not hours. Not days.
Here’s what makes this different:
🧠 It thinks like a radiologist, not just a pattern matcher
📊 Trained on 220,000 studies and 5.6 million sequences
🚨 Instantly flags strokes and hemorrhages for urgent attention
👨⚕️ Even recommends which specialist you need next
But here’s the part that got me excited:
It doesn’t just spot problems. It explains WHY it flagged something. Full transparency. No black box mysteries.
Think about what this means for rural hospitals without 24/7 neuroradiologists. For ERs drowning in scan backlogs. For that patient whose stroke symptoms started 20 minutes ago.
We’re facing a radiologist shortage that’s only getting worse. By 2025, we were already short 3,000 radiologists nationwide. Meanwhile, MRI volumes keep climbing 5% annually.
This isn’t about replacing radiologists. It’s about giving them superpowers.
Imagine: A radiologist reviews 100 scans daily. Prima pre-screens them all, flags the urgent ones, drafts initial reports. The radiologist focuses on complex cases and patient care instead of routine readings.
The fairness piece matters too. Prima performs equally well across demographics and different MRI machines. No bias based on which hospital you visit or what insurance you carry.
Yes, we need rigorous testing before widespread deployment. Yes, liability questions remain. But when seconds matter for stroke treatment, can we afford to wait?
The technology exists. The accuracy is proven. The need is urgent.
What’s stopping us from deploying this tomorrow?
♻️ Repost if brain imaging delays have impacted your patients
👉 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.
