Insights & Field Notes

Practical perspectives on clinical AI, regulatory strategy, and building health tech products that ship.

Go-to-Market for Clinical AI: Why Your Best Channel Is a Curriculum, Not an Ad

Clinicians don't buy AI products from cold emails. They buy them from people who taught them something. Here's the GTM playbook that actually works for medical AI startups — and why it looks more like a graduate seminar than a sales funnel.

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The Team You Need to Build a Medical AI Product Is Not the Team You Think

Hiring a great ML engineer and a great full-stack developer feels like the obvious move. In clinical AI, it's the move that quietly kills companies. Here's why — and what to hire instead.

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Why Most Clinical AI Projects Fail Before They Ship

The gap between a promising clinical AI idea and a deployed, regulatory-compliant application isn't technical — it's structural. Here's what clinician-founders need to know.

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Medical AI Startups Are Not Like Other Startups

Move-fast-and-break-things doesn't work when 'breaking things' means a misdiagnosis. Here's what makes building a medical AI company structurally different — and why most generalist playbooks fail.

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