medical-report-analysis

Elixer AI is a RAG-enabled LLM platform for secure, 100% accurate biomarker-based medical report analysis. It supports blood, urine, stool, sperm, and pap tests, with future-ready vision-LMM integration for imaging, plus EHR, hospital, and appointment support—built on React, Node, MongoDB, AWS, and Gemini AI.

💻🔒 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.

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.

A comprehensive MedTech web application built with the MERN stack and integrated AI/ML for medical report analysis, symptom-based assessment, appointment booking, and WebRTC-based video consultations

💻🔒 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.

AI-powered medical report analyzer that extracts, interprets, and summarizes clinical reports using OCR, NLP, and intelligent health insights. Built with FastAPI, modern frontend technologies, and automated report processing pipelines for smarter healthcare assistance.

A privacy-first, offline-capable health management mobile app built with Flutter. Features encrypted local storage, medicine tracking, and Gemini AI for automated Bengali lab report summaries.

a powerful Python application designed to make medical test reports accessible to everyone. By uploading an image of a medical test report (e.g., blood tests, X-rays), users receive a clear, concise interpretation of their health status, including any abnormal results and actionable recommendations.

AI-powered clinical intelligence platform for automated medical report analysis, doctor note generation, patient prioritization, and healthcare assistance.

AI-powered medical report simplification system that extracts findings, explains reports in plain language, supports OCR for scanned documents, and enables conversational report analysis.

A privacy-first OpenClaw skill that extracts useful medical data from manually redacted report images and saves minimal JSON locally.

Sehat Guftagu is an innovative AI-powered medical report analysis system that helps users understand their medical reports through interactive conversations.

forGrandma: Agentic AI for simplifying technical medical reports | Centrale Lyon UNBOXED Hackathon Submission sponsored by GE Healthcare & Mistral AI

🩺 Medsense AI (Medical Report Summarizer) is an AI-powered healthcare platform that transforms complex medical reports into simple, patient-friendly summaries. The system uses OCR, natural language processing, & AI-driven analysis to extract information from PDFs and medical images, generate structured insights, & help patients better understading

AI-powered diagnostic assistant that analyzes lab reports, extracts medical insights, asks intelligent follow-up questions, and generates doctor-ready dashboards and PDF summaries using FastAPI, LangGraph, and LLMs.

An AI-powered healthcare platform that analyzes medical reports and provides intelligent health insights, risk assessment, personalized recommendations, and interactive visualizations using Groq Llama 3.3 and Streamlit.

An intelligent web application built with **Flask** and **Google Gemini AI** that transforms complex medical reports into structured, easy-to-understand, and actionable health insights. The application extracts text from uploaded medical reports, analyzes the content using AI, identifies abnormal findings, calculates an overall health score.