Medical imaging analytics

Healthcare AI

Medical Imaging Analytics is a comprehensive healthcare AI platform designed to assist medical professionals with disease detection and diagnosis through advanced computer vision and deep learning. The system analyzes various medical imaging modalities including X-rays, CT scans, MRIs, and FMRI data using CNN models and anomaly detection techniques. The platform provides explainable AI insights, helping doctors understand the reasoning behind AI recommendations while maintaining high accuracy in detecting abnormalities, tumors, fractures, and other medical conditions. It serves as a powerful diagnostic aid that enhances medical decision-making while ensuring patient safety.

Completed202410 months

Project Overview

Client:MedTech Healthcare Systems
Duration:10 months
Team Size:12 developers
Status:Completed

Technologies Used

medical imagingCNNhealthcare AIX-ray classificationanomaly detectionFMRI

Key Features

  • Multi-modality medical image analysis
  • Disease detection and classification
  • Explainable AI insights
  • Anomaly detection capabilities
  • Radiologist workflow integration
  • HIPAA-compliant data handling

Challenges Overcome

  • Ensuring medical accuracy and safety
  • Handling diverse imaging modalities
  • Providing explainable AI insights
  • Meeting regulatory compliance requirements

Results Achieved

  • 92% accuracy in disease detection
  • 40% reduction in diagnostic time
  • 35% improvement in early detection rates
  • 95% radiologist satisfaction