Introduction
Total hip arthroplasties (THAs) that include patient-specific implants, guides and surgical plans have been rapidly increasing in frequency over the past decade (Haglin et al. (2016)). This increase is creating more demand from patients, and growing pressures on clinicians and medical device companies to deliver and deploy their patient-specific products quickly and safely. In this context, patient-specific data from MRI and CT scans can be used to create 3D models for orthopedic cutting guides, implants, and pre-surgical plans.
The primary challenge when optimizing patient-specific workflows is to ensure speed, efficiency, and scalability, while also maintaining clinical accuracy and regulatory compliance. When creating 3D models of a patient’s anatomy, it is typically left up to a group of highly-trained and valuable biomedical engineers to complete this task; it is therefore particularly important for a company to deploy a highly efficient and scalable process, to free up engineering time, save on costs, get to market faster, and maintain the quality of the final output.
