Distal Radius Fracture: AI-Powered Imaging Analysis

AI-powered distal radius fracture detection on wrist X-ray and CT. Classify Colles, Smith, and Barton fractures with articular involvement assessment. 4 AI models evaluate alignment, tilt, and ulnar variance.

Overview

Distal radius fractures are the most common fractures in the upper extremity, typically resulting from a fall on an outstretched hand. They are classified by fracture pattern (Colles, Smith, Barton, chauffeur), articular involvement, and displacement. Radiographic measurements including radial height, radial inclination, and volar tilt guide treatment decisions. MRI can identify associated soft tissue injuries including TFCC tears and scapholunate ligament injuries. Our AI consortium evaluates fracture pattern, measures alignment parameters, and identifies associated injuries.

Common Symptoms

Immediate severe wrist pain after a fall
Visible deformity (dinner fork deformity in Colles fracture)
Rapid swelling and bruising at the wrist
Inability to grip or use the hand
Numbness or tingling in the fingers (median nerve compression)
Tenderness over the distal radius

Key Imaging Findings

Fracture line through the distal radius metaphysis
Articular surface involvement and step-off measurement
Radial height, radial inclination, and volar tilt measurements
Dorsal displacement and angulation (Colles pattern)
Volar displacement (Smith fracture pattern)
Associated ulnar styloid fracture and DRUJ stability assessment

Frequently Asked Questions

What measurements determine if a distal radius fracture needs surgery?

Key radiographic parameters include radial height (normal 11-12mm), radial inclination (normal 22-23 degrees), and volar tilt (normal 11-12 degrees). Articular step-off greater than 2mm, radial shortening greater than 5mm, or significant dorsal angulation may indicate surgical fixation. Our AI measures these parameters when analyzing wrist X-rays.

Upload your AME MRI to check for Distal Radius Fracture Imaging Analysis

Upload your MRI or X-ray DICOM files for private, AI-powered analysis. 4 models analyze independently — all data stays in your browser.

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Medical Disclaimer: This page is for informational and educational purposes only. It does not constitute medical advice, diagnosis, or treatment. AI-generated analysis may contain errors. Always consult a qualified healthcare professional for medical decisions. Full Disclaimer