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View profile for Stefan Weitz, graphic

CEO at HumanX, General Partner for SilverCircle, Angel Investor, 3x Founder

We have 150 million radiology scans dating back 30+ years. There’s no reason to believe that AI won’t be able to use this data to build muscle to analyze future scans.  This could help diagnose ongoing patient problems better than any radiologist could, at a fraction of the cost.  The sooner companies implement AI, the better.

Tests of this were done decades ago, with success. The tech has improved since then, of course. The resistance of the medical community has been incredible. I have a story from an investment in medical imaging that emphasizes this...

“Better than any radiologist could”, ask a radiologist first. ML (not AI) does not work in edge cases it hasn’t seen before. All humans are unique. Needs understanding of underlying anatomy of a scan.

Jesse Middleton

General Partner at Flybridge. Partner at Next Wave NYC. Co-Founder of WeWork Labs.

2mo

Take a look at one of our portfolio companies, Proscia, who just got FDA approval in the pathology space for these kinds of things. AI is going to change the world of medicine in ways we can not imagine. And save lives along the way.

Clifton Sellers

Girl Dad | Founder @golegacybuilder | Building personal & business brands that reduce customer acquisition costs and drive revenue (200+ clients served)

2mo

Leveraging AI to analyze such a vast dataset could indeed transform diagnostic accuracy and efficiency.

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Brian Blanchette

Startups + AI | ex-Googler

2mo

We're doing this already at Covera Health!

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