Project Overview
Developed in collaboration with MedTech Solutions Inc., our deep learning system represents a breakthrough in medical imaging analysis. The AI model processes X-rays, CT scans, and MRIs to identify abnormalities with unprecedented precision.
Challenge
Radiologists face increasing workloads with medical imaging data growing exponentially. Traditional diagnostic methods struggle with consistency and speed, leading to delayed diagnoses and potential human error.
Solution
We developed a convolutional neural network (CNN) architecture trained on over 500,000 annotated medical images. The system integrates seamlessly with existing hospital PACS and provides real-time analysis with confidence scores.
Technology Stack
- TensorFlow & Keras for deep learning
- Python for data processing
- OpenCV for image preprocessing
- DICOM standard integration
- Cloud deployment on AWS
Results & Impact
The system has been deployed across 3 major hospital networks, processing over 50,000 images monthly with consistent 95% accuracy rates.