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Hong Kong just solved one of medicine’s most stubborn trade-offs.
For decades, we’ve accepted that detailed 3D imaging meant bombarding patients with radiation. CT scans require 400-500 X-ray images. That’s like getting a chest X-ray every day for over a year, compressed into minutes.
Now HKUST’s AI creates the same 3D models from just 2-4 X-rays.
🎯 The numbers are staggering:
• 99% reduction in radiation exposure
• 97% accuracy compared to traditional CT
• Cost drops from $250 to $25
• Results in under 60 seconds vs hours of waiting
Think about what this means for vulnerable populations.
Children with scoliosis need frequent spine imaging. Cancer patients require regular monitoring. Elderly orthopedic patients get repeated scans. Every CT scan increases lifetime cancer risk, especially in kids whose cells divide rapidly.
This AI was trained on just 500 cases, yet it’s matching technology that’s been refined for 50 years.
The implications go beyond safety:
• Rural clinics without CT scanners can now generate 3D images
• Emergency departments can get instant 3D reconstructions
• Developing nations can leapfrog expensive CT infrastructure
• Surgical planning becomes accessible to millions more patients
Hong Kong public hospitals start trials this month. If successful, this could be the biggest radiology breakthrough since MRI.
Here’s my prediction: Within 5 years, ordering a full-dose CT for routine imaging will be considered malpractice. The question isn’t whether this technology will spread globally, it’s how fast regulatory bodies can keep up.
We’re witnessing the democratization of advanced imaging. When you can get hospital-quality 3D scans from a basic X-ray machine, healthcare equity isn’t just a goal, it becomes inevitable.
♻️ Repost if safer imaging should be a human right.
👉 Follow me, Jonathan Govette, for 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/
