AI-driven diagnostic tool for early detection of respiratory diseases.
Computer VisionPythonReact
Client Requirements
High-accuracy image analysis for X-ray and CT scans.
HIPAA-compliant data storage and processing.
Seamless integration with existing hospital management systems (HL7/FHIR).
Strategic Planning
We leveraged deep learning models (ResNet-101) fine-tuned on a massive dataset of annotated medical imagery. The architecture focuses on interpretable AI, providing 'heatmaps' for radiologists to review automated findings.
Solution Implementation
Python-based backend using FastAPI and PyTorch.
Web-based DICOM viewer for high-resolution image inspection.
