AIclinix is an innovative Ruby on Rails application designed to revolutionize healthcare diagnostics through the power of artificial intelligence. This application serves as a crucial tool for healthcare professionals, offering AI-assisted predictions, recommendations, and decision-making support for various medical conditions.
- Diverse Condition Analysis: Leverages machine learning models to predict risks for conditions like heart disease, diabetes, and more.
- Intelligent Recommendations: Provides actionable healthcare recommendations based on AI analysis.
- Dynamic Data Visualization: Utilizes SHAP values for insightful and understandable visualizations of AI predictions.
- Secure Patient Management: Safely manage patient data with robust authentication and privacy measures.
- Real-time Diagnostics: Offers real-time diagnostic support to healthcare professionals, aiding in timely and informed decision-making.
The primary aim of AIclinix is to enhance the accuracy and efficiency of medical diagnostics, making AI an integral part of patient care and treatment planning. By integrating state-of-the-art machine learning models with user-friendly interfaces, AIclinix bridges the gap between complex AI algorithms and everyday clinical practice.
- Backend: Ruby on Rails
- Machine Learning: Various ML models implemented and served via a Django-based REST API
- Database: PostgreSQL for secure and efficient data management
- Frontend: Integrates JavaScript libraries for advanced data visualization
We encourage contributions and feedback to make AIclinix a cornerstone in AI-assisted healthcare. Whether you're a healthcare professional, a developer, or an AI enthusiast, your insights and contributions can drive AIclinix forward.