Most clinical AI products pass their own tests. That is the problem. A test set built from clean, well-formed cases tells you how the product behaves when ...
Elgaraali
IntroductionWhy safety claims are so hard to readDecoding the common claims, line by lineThe evidence to request before you signRed-flag phrases that should ...
A clinical AI agent does not just answer — it acts. Scope, permissions, approval checkpoints, readable audit trails, tested stop conditions and sycophancy ...
Always-on agents are being aimed at clinical workflows and patient data. What NVIDIA's NemoClaw and OpenShell sandboxing settles — and what it does not.
The AHA and AMA have told the FDA that hospitals cannot see inside AI tools, so vendors must prove performance after launch. What founders should build now: ...
Clinical review, usability testing and regulatory assessment answer different questions. What each one checks, who should do it, and what founders mix up at ...
NVIDIA DSX POD puts an AI factory in a factory-built container. What health systems should ask the delivery partners before signing — and what validation still ...
Sooner or later, almost every healthcare-AI founder ends up in a conversation about NVIDIA. A cloud provider suggests its GPUs. An imaging partner mentions ...
Elgaraali
Most healthcare-AI products can produce a warning. Far fewer can answer the questions that follow it: Who sees this warning? How quickly? What can that person ...
Adult digital-health review frameworks ask reasonable questions: Is the content accurate? Does the product escalate safely? Is the data handled properly? ...