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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:
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.
