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 ...
A clinical AI agent does not just answer — it acts. Scope, permissions, approval checkpoints, readable audit trails, tested stop conditions and sycophancy ...
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 ...
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 ...
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? ...
Many symptom checkers are built around adult presentations. Children break those rules in ways that matter. Three differences that change the answerAge bands ...
Most vendor demos show the chatbot working. Few show it failing safely. Use these questions to find out. ScopeWhat is the bot allowed to do, and what is it ...
A chatbot will, sooner or later, talk to someone having a bad day. It might be a parent describing a child who is not right, an employee writing that they ...