A Python project to create specialized LLM-based AI agents that analyze complex medical cases. The system integrates insights from various medical professionals to provide comprehensive assessments and personalized treatment recommendations, showcasing the potential of AI in multidisciplinary medicine.
🩺 RAGnosis — An AI-powered clinical reasoning assistant that retrieves real diagnostic notes (from MIMIC-IV-Ext-DiReCT) and generates explainable medical insights using Mistral-7B & FAISS, wrapped in a clean Gradio UI. ⚡ GPU-ready, explainable, and open-source.
NeuroPlex - AI-Powered Medical Diagnostics Revolutionary federated learning platform leveraging cutting-edge neural networks for real-time cancer detection. Features biometric security, Material You design, edge-to-edge UI, and privacy-first architecture. Harnesses quantum AI, glassmorphism, and 2026 innovation for healthcare transformation. 🚀🏥
AI for healthcare innovation, empowering medical research and diagnosis.
Retinal Optical Coherence Tomography (OCT) is a non-invasive imaging technique used to capture high-resolution cross-sections of the retina. With over 30 million OCT scans performed annually, efficient analysis is critical for timely diagnosis.
An AI Powered Diagnostic Assistant
A Python project to create specialized LLM-based AI agents that analyze complex medical cases. The system integrates insights from various medical professionals to provide comprehensive assessments and personalized treatment recommendations, showcasing the potential of AI in multidisciplinary medicine.
This repositry features a DQN network for the pathway extraction in the process of prediction on which type of Anemia is the person suffering or not suffering Anemia at all. It is based on a Deep Reinforcement Learning based architecture and also has comparisons with state of the art Machine Learning Classifiers.
Intelligent healthcare AI platform for diagnosis, medical report analysis, first aid support, and global health monitoring.
Lung cancer prediction model that evaluates the probability of having cancer based on key indicators such as symptoms and behaviors. The original data was collected from the "online lung cancer prediction system" website.
About A Python project to create specialized LLM-based AI agents that analyze complex medical cases. The system integrates insights from various medical professionals to provide comprehensive assessments and personalized treatment recommendations, showcasing the potential of AI in multidisciplinary medicine.
FedFusionNet++ is a privacy-preserving Federated learning framework for Oral Cancer Detection. It combines SCAFFOLD, FedProx, and AFA with ε=3.0 differential privacy to achieve 89% accuracy on Non-IID datasets—a 23.6% improvement. The hybrid architecture integrates dual-branch CNN and XGBoost ensemble for robust clinical predictions.
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