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20% of breast cancer patients need a second surgery. AI just fixed that.

Intermountain Health just deployed something remarkable across their entire system: AI-powered imaging that lets surgeons see cancer margins in real time, right there in the OR.

Think about what this means.

No more waiting days for pathology results to know if you got it all. No more telling 1 in 5 patients they need to come back for another surgery. No more wondering if that edge looks suspicious.

The technology uses optical coherence tomography (OCT) to create cellular-level images of tissue margins instantly. Surgeons can literally see if cancer cells extend to the edge of what they’ve removed, while the patient is still on the table.

Here’s what makes this transformative:

🔬 Real-time visualization at the cellular level
📊 Immediate margin assessment during surgery
🏥 Systemwide deployment, not just a pilot
💡 AI algorithms learning from every case

Dr. Jennifer Tittensor at American Fork Hospital puts it perfectly: “I can visualize margins in real time and make more informed surgical decisions.”

But here’s the bigger story.

This isn’t about replacing pathologists. It’s about giving surgeons superpowers. The same way GPS didn’t replace navigation skills but made every driver more confident.

Intermountain is deploying this from their flagship Salt Lake City hospitals to rural facilities across the Mountain West. That means a patient in rural Utah gets the same cutting-edge cancer surgery as someone in a major medical center.

The data collection from these surgeries will train next-generation AI algorithms. Every surgery makes the system smarter. Every patient contributes to better outcomes for the next.

We’re watching the birth of precision cancer surgery. Where “clear margins” isn’t a hope, it’s a real-time certainty.

This is what happens when we stop asking “Can AI work in healthcare?” and start asking “How fast can we scale it?”

The 200,000 women diagnosed with breast cancer this year deserve nothing less.

♻️ Repost if cancer surgery needs real-time precision, not second chances.
👉 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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