Radiology Specialist · Chief Innovation Officer · Radigrade
Before it reachesthe patient,medical AI shouldpass the exam.
An AI report on a radiograph looks the same whether a finding is there or invented, and a confident plan whether the treatment is needed or not. Nothing in the report warns the clinician.
So my work starts with a grade, in public and for no vendor: findings invented counted first, then treatments not needed, against a reference that two oral and maxillofacial radiologists read together. I read every day as one of them, train models on my own reads, and test them on cases they have never seen to learn where they fail. The essays are the field notes.
100,000+ reports signedRadigrade, the registered benchmark, publicCBCTScope shipped, open sourcewhat I’m building →
// Latest writing
One-Person Startup5 minAgent-native imaging: why I gave my CBCT viewer to the agents
Why I built CBCTScope, an open-source local-first CBCT viewer with native AI-agent control over MCP, and why the agent gets navigation verbs but never a verb that returns a finding.
One-Person Startup11 minHow to tell whether a medical AI ever looked at the image
A detector's verdict moved with a corner marker. A chatbot nearly passed a radiology exam with no images. Four checks that show where an AI's score came from.
One-Person Startup13 minWhy a better AI agent needs more supervision, not less
A capable AI agent makes confident mistakes you only see in the outcome. Why written rules decay, and four checks between an agent and what you cannot undo.
One-Person Startup9 minAutomate the junior work and you stop making experts
Let the AI take the routine cases and nobody becomes senior. The deskilling evidence, the counter-study that changes what it means, and three habits that keep the eye.
One-Person Startup10 minWhy AI has not replaced radiologists: what the demo missed
In 2016 serious people said stop training radiologists. Five years later radiology was short of them. What the forecast measured, what a day contains, and one test.
// Lab Notes
All entries// Browse by series
// Agent-native instruments, open source
CBCTScope
A complete, local-first CBCT and 2D radiograph viewer, built by the radiologist who reads with it. The first CBCT reading viewer with native AI-agent control: the agent moves the camera, the human reads.
About the instrument
Quoin
A macOS text editor where AI agents are first-class users. The agent edits, you decide.
About the instrument
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