Virtual Scoliosis Brace Fitting with Machine Learning
Improving the quality of life for those suffering from scoliosis with the help of technology. Discover how Machine Learning can make it better.
About Rehab Evolution
Rehab Evolution Ltd is an innovative healthcare company specializing in rehabilitation solutions. Their mission is to enhance the quality of life for individuals with musculoskeletal disorders by leveraging advanced technologies. Aiming to modernize the treatment of scoliosis, they sought to integrate cutting-edge AI and digital solutions to improve patient outcomes in brace fitting and diagnostics.
The Challenge
Traditional scoliosis brace fitting is a manual, time-consuming process, often leading to discomfort for patients and inconsistencies in results. Rehab Evolution faced the challenge of developing a more efficient, scalable solution for customizing scoliosis braces based on patient-specific data, while maintaining precision and improving the overall patient experience. They needed a proof of concept (POC) to validate the feasibility of a virtual brace fitting system that could automate and personalize the process.
The Solution
We developed an AI model capable of adjusting a pre-existing brace model based on patient body scans. The team explored two distinct approaches:
- Optimization Approach: This method aimed to find the optimal deformations for the brace by using an iterative optimization algorithm that minimized the difference between the scanned patient’s body and the adjusted brace.
- Machine Learning Approach: Using advanced neural networks, the AI system learned how to fit the brace to each patient based on input body scans, offering a scalable, automated alternative to traditional manual fitting.
Impact
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