Unified AI Platform for Clinical Decision Support
Problem
Healthcare providers face fragmented data sources — medical images, lab results, clinical reports — making decision-making time-consuming and inconsistent, directly impacting patient care quality.
Process
Built a full AI-powered medical platform integrating: Computer Vision for medical image analysis, ML models for lab data interpretation, NLP for automated clinical report analysis. Developed an AI medical assistant, clinical dashboards, treatment recommendation system, and workflow analytics tools.
Impact
✦ Unified 3 data modalities (images, labs, reports) · AI-powered treatment recommendations · Full clinical workflow automation