Corrigendum: Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty(Frontiers in Robotics and AI, (2022), 9, (840282), 10.3389/frobt.2022.840282)

Abstract

In the original article, the “Statistical shape model-based prediction of tibiofemoral cartilage” was not cited. The citation has now been inserted in the section Materials and Methods, “Data Preprocessing,” Paragraph 5 and should read: “The DOFs in the MPPs were also used as features because they provide a baseline on which the model needs to learn the necessary changes. The final set of features is shape coefficients obtained after fitting a statistical shape model (SSM) to the bones. An SSM describes the distribution of anatomical variation in a population of geometrical shapes (Cootes et al., 1995). The SSM describes a new bone as the average bone shape from the population together with a linear combination of the shape variation modes. The SSM was created based on a dataset of 524 3D models of femur and tibia (Van Dijck et al., 2018). The first fifteen shape coefficients of both femur and tibia, explaining most of the shape variation, are included as features.”