⭐ Awesome Medical QA/RAG: A curated collection of 250+ papers, datasets, and benchmarks for Healthcare AI, Medical RAG, Knowledge Graphs, Clinical LLMs, and Multilingual Reasoning.
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Updated
Jun 25, 2026
⭐ Awesome Medical QA/RAG: A curated collection of 250+ papers, datasets, and benchmarks for Healthcare AI, Medical RAG, Knowledge Graphs, Clinical LLMs, and Multilingual Reasoning.
AI-powered mental health screening platform using behavioral analytics, voice analysis, facial emotion recognition, and ensemble ML models.
High-performance Rust backend powering Digital World Medicine: APIs, Telegram bots, and clinical tools.
Machine learning project for predicting heart disease risk using classification models and healthcare data analysis.
Pregnancy risk classification using ML models in Google Colab.
Machine learning model for ECG signal classification using Random Forest.
3D Attention U-Net for lung tumour segmentation from CT scans using the LIDC-IDRI dataset | Test Dice: 0.7842 | TensorFlow | Deployed on Hugging Face
Image processing project using Deep learning system for brain tumor classification using MRI scans. Achieves multi-class detection (glioma, meningioma, pituitary, no tumor) .
A Flask-based web application for cervical pre-cancer detection using VIA images and a custom machine learning model. Includes patient data input, image upload, automated detection, segmentation visualization, and detection history. Built for academic and research use.
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