Overview
AI identifies fractures on radiographs and CT to assist emergency and orthopedic care. Rapid detection supports timely immobilization and referral. Triage flags prioritize urgent cases for radiologist review.
Model Training
Large annotated datasets of fractures and normal variants are used for training. Data augmentation improves robustness to positioning and exposure differences. Validation includes sensitivity for subtle and occult fractures.
Clinical Workflow
AI alerts integrate with emergency workflows to reduce missed fractures. Automated measurements and classification support surgical planning. Human confirmation ensures final diagnosis and management.
Limitations
Overcalling normal variants can increase unnecessary imaging and referrals. Continuous refinement and clinician feedback reduce false positives. Documentation of performance by fracture type supports targeted improvements.