Insights from the Frontier of Healthcare AI

Model accuracy means nothing if the physician ignores the output. Here's what we learned about building AI that clinicians actually rely on — and the mistakes that taught us. There's a persistent myth in healthtech that goes something like this: build a model with high enough accuracy, publish an impressive AUC score, put together a slick demo, and doctors will adopt it. The logic seems reasonable. If the AI is demonstrably better than the alternative, why wouldn't clinicians