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A handheld ultrasound just changed everything for pregnant women.
Butterfly Network got FDA clearance last week for something remarkable: AI that estimates gestational age from blind ultrasound sweeps.
No specialist needed. No complex training required.
Just sweep the device across the abdomen, and the AI trained on 21 million diverse images does the rest.
🎯 Why this matters:
Think about the 2.4 million women in maternity care deserts across America. The rural ERs without OB coverage. The FQHCs struggling to find sonographers.
This $2,000 device just became their specialist.
Gestational age accuracy between 16 and 37 weeks means:
• Emergency departments can make critical transfer decisions
• Primary care can monitor high risk pregnancies
• Community health workers can screen in remote areas
• FQHCs can expand prenatal services without new hires
The technology leap here isn’t just the AI, it’s the democratization of expertise.
When a device fits in your pocket and requires minimal training, you fundamentally change who can deliver care and where.
This is what healthcare innovation should look like: technology that expands access rather than concentrating it.
The question now: How quickly can health systems deploy this to the frontlines where it’s needed most?
Because every day we wait, another woman drives hours for a basic ultrasound that could happen in her own community.
♻️ Repost if prenatal care should be accessible everywhere, not just cities
👉 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/
