Empowering healthcare systems with AI-driven diagnostic tools and tailored treatment planning.
HealthcareAI leverages neural network models to analyze patient data, medical imaging, and historical records, enabling healthcare professionals to make faster, more accurate diagnoses and personalized treatment recommendations. By integrating deep learning with EHR (Electronic Health Records), the system supports better clinical decisions and improved patient outcomes.
- CNN-based image analysis used for detecting anomalies in MRI and X-ray scans with 94%+ precision, reducing diagnostic time significantly
- Developed a recommendation engine for suggesting treatment options based on patient history, drug interactions, and clinical guidelines
- Used Recurrent Neural Networks (RNNs) and transformers to predict patient outcomes and flag high-risk cases early
- Integrated with existing hospital systems and EHRs to offer a seamless AI layer that enhances decision-making
- Tools: TensorFlow, Keras, Scikit-learn, deployed via Python and REST APIs