Implant Modeling

Implant modeling uses advanced imaging and computational techniques to create precise 3D models of implanted medical devices, primarily for surgical planning and personalized implant design. Current research heavily utilizes deep learning architectures, such as U-Net variations, coupled with algorithms like morphing techniques, to automate the segmentation and reconstruction processes from medical images (e.g., CBCT, X-ray). This automated approach improves accuracy, reduces time and labor compared to manual methods, and has significant implications for various surgical specialties, enabling more precise procedures and potentially improving patient outcomes.