Independent reviews for healthcare-AI products
Practical clinical-safety and content reviews for healthcare-AI startups, digital-health teams, and pediatric product builders.
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Re-Benchmarking After Every Upstream Model Change: A Founder’s Routine
Your product passed its safety checks in March. In April, your model provider shipped an update: a new version number, a short changelog, perhaps a note about improved reasoning. Nothing in your own code changed. Yet the answers your product gives patients have changed, in ways nobody on your team has seen yet. That is…
Reviewing a Paediatric Symptom Checker: Beyond the Questions It Asks
A symptom checker demo is a pleasant thing to watch. The presenter types in a neat set of symptoms, the tool asks a tidy sequence of questions, and a sensible-looking answer appears on screen. Everything flows. Nothing gets stuck. The audience nods. Then a real parent uses it at 2 a.m., with a crying toddler,…
Per-Domain Safety Thresholds: Why One Overall Accuracy Score Hides Paediatric Failure
The headline number is a hiding place Why one number misleads in paediatrics Step 1: Define the domains before you measure them Step 2: Set a floor for each domain, not a target for the average Step 3: Decide in advance what happens below the floor A worked example: 93% overall, 71% where it matters…
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…
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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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