Independent reviews for healthcare-AI products
Practical clinical-safety and content reviews for healthcare-AI startups, digital-health teams, and pediatric product builders.
Latest reviews
New York Just Made Child Safety a Legal Requirement for AI Chatbots — What Founders Must Check
A chatbot that flatters a child, keeps secrets with them, or leans on their health history is no longer just bad design in New York. From 1 January 2027, it is a legal violation carrying up to $25,000 per offence. On 28 October 2026, New York signed the first US state law aimed squarely at…
Planted-Error Testing: Seeding Mistakes to See Whether Clinicians and AI Catch Them
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 everything goes right. It says almost nothing about what happens when a clinician mistypes a dose, when a summary drops a negative, or when the model quietly invents…
Reading a Vendor’s Safety Claims: Questions to Ask Before Integrating a Health AI Tool
Introduction Why safety claims are so hard to read Decoding the common claims, line by line The evidence to request before you sign Red-flag phrases that should slow a deal down The 10-question checklist — send it as it stands What to do with the answers Frequently asked questions Introduction Sooner or later, a vendor…
Controlling AI Agents in Clinical Products: Scope, Permissions, Approvals and Stop Conditions
A clinical AI agent does not just answer — it acts. Scope, permissions, approval checkpoints, readable audit trails, tested stop conditions and sycophancy tests: a practical control checklist for founders.
Secure AI Agents in Clinical Settings: What NVIDIA’s NemoClaw and OpenShell Mean for Healthcare Founders
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.
Hospitals Can’t See Inside Your AI Tool — So the AHA Wants the FDA to Make You Prove It Works After Launch
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: monitoring plans, per-domain thresholds and a buyer-ready evidence file.
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Clinical AI Safety
Independent safety checks and risk reviews for clinical chatbots and AI features.
Pediatric Digital Health
Guidance for teams building digital-health products used with children and families.
Medical Content & Communication
Reviews of patient-facing content, instructions and health-literacy quality.
Health-Tech Product Reviews
Hands-on testing notes on health-tech products from a medical reviewer’s perspective.
Founder Guides
Practical guides for healthcare-AI founders preparing products for independent review.
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