This project uses deep learning to classify knee X-ray images into Normal, Osteopenia, and Osteoporosis. It supports early diagnosis and improves osteoporosis detection through AI-based medical imaging.

Machine learning 📖 to predict Osteoporosis in people 👦 given their age, gender, medical 🏥 history and other data.

End-to-end AI framework for osteoarthritis and osteoporosis diagnosis

Osteoporosis Research Center | self-assessment tools for Osteoporosis

Projeto para detecção de osteopenia e osteoporose em imagens radiográficas panorâmicas.

A data-only living systematic review

营养学 | 骨质疏松症食养助手 - 基于国家卫健委《成人骨质疏松症食养指南（2026年版）》的AI科普对话助手 · 使用WorkBuddy构建

Flask-based healthcare web application for medical image upload and osteoporosis screening workflow.

A deep learning platform for systemic disease screening via dental radiographs in undeserved communities.

This is project about CNN using for classification of osteoporosis, osteopenia pathologies and normal structure of bones

小亚说官方公众号 护肤健康营养博客 玫琳凯专业顾问

AI-driven bone health classification from knee X-rays using deep learning ensemble (VGG-19 + EfficientNetB2 + Stacking Classifier)

🦴 AI-powered tool to help osteoporosis patients understand DEXA scan results and explore medication options. Educational prototype - not for production use.

OrthoCare_AI is an AI-powered orthopaedics and musculoskeletal health research platform. Content is compiled from published medical literature, clinical guidelines (AAOS, BOA, NICE, WHO), and research databases. It enables upload and analysis of reports. This open, collaborative system grows stronger with every user. Share it widely.

Personal learning project: clinical decision support reference for osteoporosis management in Irish primary care. Not for clinical use.

Reproducible CLI-first osteoporosis imaging research workflow for MONAI, QCT, DXA, Slicer, and BoneJ