AI-Driven 3D Scanning for Post-Fracture Assessment for a Leading US-Based Company
Overview
The client is a healthcare innovator, sought to enhance the accuracy and safety of post-fracture deformity assessment. They aimed to eliminate reliance on traditional X-ray imaging and enable precise monitoring of anatomical restoration through a more advanced approach. ACL Digital developed an AI-powered mobile application leveraging advanced 3D scanning for accurate analysis.
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Challenges
Dependence on X-ray imaging limited safer, alternative assessment approaches
Limited surface-level visibility restricted detailed anatomical analysis
Inconsistent identification of anatomical landmarks affected accuracy
Lack of precise 3D-based methods hindered effective deformity tracking
Solution
- Developed an AI-powered mobile application integrated with a 3D white light scanner to generate topographical models
- Applied AI and machine learning to detect key anatomical points from 3D scans
- Built a shape-matching engine to identify and match similar structures across 2D images and 3D scans
- Utilized expert reference scans with predefined anatomical landmarks for accurate mapping
- Performed geometrical transformation to project anatomical landmarks onto patient scans
Outcomes
- Reduced dependence on X-ray imaging for post-fracture assessment
- Improved accuracy in identifying anatomical landmarks
- Enhanced precision in monitoring deformities over time
- Enabled an effective approach for evaluating anatomical restoration
