An AI system that assists radiologists in analyzing medical images to identify potential abnormalities and suggest diagnoses.
healthcare
medical-imaging
diagnostics
radiology
Created by Sarah Chen on Feb 10, 2025, 2:20 PM
Last updated on May 8, 2025, 9:15 AM
Business Objectives
- •Improve diagnostic accuracy by 15%
- •Reduce time to diagnosis by 30%
- •Decrease missed abnormalities by 25%
- •Support radiologists with consistent second opinions
Success Criteria
- •Detection sensitivity >95% for critical abnormalities
- •False positive rate <5%
- •Diagnostic accuracy within 10% of expert radiologists
- •Processing time <60 seconds per image
Key Tasks
- •Analyze various medical imaging modalities (X-ray, CT, MRI)
- •Detect and highlight potential abnormalities
- •Classify abnormalities by type and severity
- •Provide probability scores for different diagnoses
- •Generate preliminary reports for radiologist review
Technical Requirements
- •DICOM format compatibility
- •Integration with hospital PACS systems
- •HIPAA compliance for patient data
- •Explainability features for diagnostic suggestions
Associated Models (1)
Industrial Object Detector
Computer Vision
Associated Datasets (0)
No datasets associated