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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What Building Calm Story Prompts for Neurodivergent Kids Taught Me About Safe Children’s AI Content
Most children’s AI content is built for adults first and children second. The vocabulary is a little too grown-up. The story changes direction without warning. Something mildly frightening appears because it makes the plot more interesting, and nobody stops to ask whether a six-year-old listening at bedtime needed that surprise. I am a pediatrician by…
Reviewing a Telehealth Visit Tool: What Breaks When the Call Is the Clinic
The video call is the easy part of a telehealth visit. Two people, a camera, a conversation. Most tools get that right, and most demos stop there — a smiling clinician, a clear connection, a tidy ending. The visit itself is harder. It starts before the call, with identity, consent, and a parent trying to…
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…
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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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