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 ...
Most patient information fails in one of two directions. It either sounds more certain than the evidence allows — "your symptoms are caused by a virus, rest at ...
A symptom checker's escalation advice is the single highest-stakes sentence it ever produces: "contact your GP today", "go to the emergency department", "this ...
Teams building healthcare AI usually do one thing well: they check the medical content. Clinical reviewers read the chatbot's answers, verify them against ...
Preparing Your Healthcare-AI Prototype for an Independent Clinical Review An independent clinical review is one of the most valuable things a healthcare-AI ...