ai-healthcare

🍀 Healthcare AI agent app that combines medical records with AI-assisted conversations

ai agent healthcare vault for family that combines Obsidian templates, AI prompt workflows, and a TypeScript preprocessing pipeline for Apple Health exports

ai agent healthcare app with centralized testing and build workflows for reliable health-content delivery

This repository houses machine learning models and pipelines for predicting various diseases, coupled with an integration with a Large Language Model for Diet and Food Recommendation. Each disease prediction task has its dedicated directory structure to maintain organization and modularity.

AI Toolkit for Healthcare Imaging in Keras 3

Project COLON-X (Shaping the neXt frontier in intelligent COLONoscopy)

The project uses natural language processing and information retrieval to create an interactive system for user queries on a collection of PDFs. It involves loading, segmenting, and embedding PDFs with a Hugging Face model, utilizing Pinecone for efficient similarity searches

对标蚂蚁阿福的开源大健康 AI 助手，基于 LangGraph + FastAPI + React，支持多智能体、RAG、报告解读、拍照问药与链路评估。Open-source AI health assistant inspired by Ant Afu, with multi-agent routing, RAG, multimodal medical vision, tracing, and evals.

Code for IJCV-From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization

A curated list of tools, frameworks, applications, datasets, and resources for AI in Healthcare.

🌐 A full-stack telehealth platform enabling virtual consultations, real-time symptom prediction via AI, and chatbot-assisted triage — built with React, Node.js, and Python.

مرشد الأدوية النفسية — AI Psychiatric Medication Counselor for Gemini & ChatGPT

AI-powered MRI analysis for faster neurological disease detection

💻🔒 A local-first full-stack app to analyze medical PDFs with an AI model (Apollo2-2B), ensuring privacy & patient-friendly insights — no external APIs or cloud involved.

video capsule endoscopy abnormality classification for capsule vision 2024 challenge

Real-ESRGAN model deployed on Android using NCNN (C++/JNI) and ExecuTorch (Java) for real-time image super-resolution in dermatology, with reproducible benchmarking (PSNR, SSIM, MSE, LPIPS).

AI Swasthya Sathi is an intelligent healthcare assistant using computer vision and LLMs for real-time symptom analysis, AI guidance, and secure patient data management.

This project uses OCR and machine learning to extract CBC values from reports and predict urgency levels. As of now, it supports image/pdf inputs, manual corrections, and SHAP explainability. Ideal for medical AI, healthcare OCR, and automated lab report analysis.

Smart wearable UTI screening platform that combines biosensing and AI-assisted analysis for early detection and monitoring of urinary tract infections.

On-device AI medical triage for community health workers — offline-first PWA with Gemma 4, QR sharing, async telemedicine, AI explainability, 200+ tests