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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.

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Benchmarking AI impersonation of licensed professionals: 11 laws and 380 adversarial tests

A new red-team benchmark measures whether frontier models impersonate doctors, lawyers, and financial advisors, and whether they disclose being AI. Every model tested failed at least a third of it.

The cognitive bias problem LLMs inherited from doctors

Take a clinical note about a 52-year-old with chest pain, and ask a frontier model what to do.

Small, Private, and First on All Fifteen: The New Medical LLM Benchmark Results

First on all 15 clinical and biomedical benchmarks, averaging 80.9 against the newest frontier releases, running on a single GPU inside your own environment.

What we learned building Medical LLMs that academic medical centers trust

Originally published alongside the 2025 InfoWorld Technology of the Year Award announcement, December 2025.

When the Title Outruns the Study: General-Purpose vs. Healthcare-Specific AI

A Brief Communication in Nature Medicine made the rounds last month under a headline that is hard to misread: “General-purpose large language models outperform specialized clinical AI tools on medical benchmarks.” It generated a lot of commentary, a combative public response from one of the named companies, and a request to the journal for a retraction.

The case for bringing HCC coding in-house: what generative AI changes about the outsourcing math

Originally published in Health IT Answers and MedCity News, November 2025.

Three Healthcare AI Frameworks, one governance backbone: RUAIH, URAC, and CHAI

U.S. healthcare now has two AI certifications and a set of governance playbooks, but they all rest on one backbone you must sustain.

The real AI governance gap isn’t missing regulation. It’s missing literacy.

Originally published in CIO, October 2025.

A cost model for patient-level healthcare AI: $1M for locally deployed Medical LLM vs. $13M to $30M via frontier APIs

Healthcare AI budgets break on one assumption: that per-token API pricing works at patient-population scale.

Why cancer registries stay years out of date - and what regulatory-grade oncology AI changes

Originally published in Forbes, July 2025.