Scoliosis is a three-dimensional deformity of the trunk and spine that can develop significantly during growth stages. Recently, computer-aided design has played a crucial role in various physical rehabilitation and orthotic applications. This study focuses on designing medical orthotics using 3D modelling and force simulation techniques, aiming to improve the accuracy and effectiveness of scoliosis treatments.

The approach starts by reconstructing a 3D model of the scoliosis case using computed tomography (CT) data and then employs Solidworks software to analyse and simulate the mechanical properties. The numerical simulation of applying different pressure points with varying values generates a comprehensive dataset of curves that express the spine's deformity, simulating correction using different braces with distinct pressure points in Solidworks. By selecting the optimal pressure points in various planes, we were able to manufacture a precise 3D model that addresses scoliosis based on pre-examined pressure points.

This study demonstrates that combining engineering and medical technologies can significantly enhance the quality of treatment and effectively meet patients' needs. Furthermore, advancements in 3D printing technology enable the production of highly accurate and customized orthotic devices, ensuring a perfect fit for each patient's unique anatomical structure. The ability to rapidly prototype and adjust designs in real time significantly reduces the time and cost associated with traditional orthotic manufacturing methods. Moreover, the integration of deep artificial neural networks could further refine the design process, enabling the reconstruction of appropriate scoliosis braces based on extensive data analysis and predictive modeling.