David Talby
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AI in Healthcare
AI in healthcare, covered for the people who build, deploy, and govern it: new research, real deployments, validation, and governance. 100,000+ subscribers.
10 posts · theirs
Lately
Benchmarking AI impersonation of licensed professionals: 11 laws and 380 adversarial tests
The cognitive bias problem LLMs inherited from doctors
Small, Private, and First on All Fifteen: The New Medical LLM Benchmark Results
What we learned building Medical LLMs that academic medical centers trust
When the Title Outruns the Study: General-Purpose vs. Healthcare-Specific AI
The case for bringing HCC coding in-house: what generative AI changes about the outsourcing math
Three Healthcare AI Frameworks, one governance backbone: RUAIH, URAC, and CHAI
The real AI governance gap isn’t missing regulation. It’s missing literacy.
A cost model for patient-level healthcare AI: $1M for locally deployed Medical LLM vs. $13M to $30M via frontier APIs
Why cancer registries stay years out of date - and what regulatory-grade oncology AI changes
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