evidence-based-nutrition-advisor V1.0.1 — evidence-based nutrition, supplement, claim, and meta-analysis audits.
Health Youpu / 健康有谱: an open-source health literacy book for families
Open-source FastAPI app that simplifies clinical text, PDFs and images to B1-level plain language, with multi-language support and text-to-speech. Bring your own AI model.
R Shiny app for the UCL Newham Fellowship health literacy project.
Analyse health and education documents for accessibility. Readability scoring, medical jargon detection, and plain-English suggestions.
Public analysis materials for expert-reviewed AI simplification of ultrasound reports
A quantitative fidelity gate for patient-facing radiology reports: a four-layer belt that decides whether an AI-humanised clinical report is faithful enough to give to a patient.
AI-powered medication instructions simplifier using 5-node LangGraph agentic pipeline, Hybrid RAG (FAISS + BM25 + Cross-Encoder), GPT-4o-mini, and multi-layer guardrails. Supports 10 languages. ROUGE-1: 0.41 | FK Grade: 7.8 | 100% guardrail pass rate. 248K drug records.
Grounded, plain-language explanations of medical records at a chosen reading level, with citations. FHIR + MedlinePlus + openFDA + RxNav.
Historical browser-private question preflight source; maintained question guidance is native on Dystiny.
AI-assisted accessibility and health-literacy screening for digital health content - n8n + Postgres + Claude, WCAG 2.2 + PEMAT-P + CDC Clear Communication Index
TOP 5 FINALIST AT Open AI Build Week Manila | Privacy-first care preparation companion for Filipino families—organize pharmacy, clinic, lab, and discharge conversations without diagnosing or prescribing.
Turns public antibiotic resistance data into plain language risk context, so patients can have better informed conversations with their doctor. Built for the CSH Social Impact Ideathon 2026.
Structured frameworks for making informed healthcare decisions — treatments, prevention, and end-of-life planning
Interactive learning guide for Graves' disease diagnosis, built on tiered medical evidence and designed for patient understanding. Plain language, visual narrative, and accessibility-first.
Independent scholarly literature reviews examining perioperative analgesia, patient communication, and postoperative recovery measurement in breast reconstruction revision surgery.
Open reasoning content behind Tiny Tars Foundation's health-literacy tools — plain-language explanations of a person's own health data, structured for expert review.
Advancing health data literacy, access, and person-centered engagement.
A free checklist for anyone writing health information for patients or the public. Runs in Claude or ChatGPT. Built on the NHS standard for creating health content and the published PIF TICK criteria. A self-check, not certification.
Framewise Health — independent third-party profile of a public API surface, by API Evangelist. Framewise Health is an AI-native patient engagement platform (Y Combinator, Spring 2026) that converts a patient's medical records into personalized, clinically-reviewed educational videos.
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