Purpose To develop a novel machine learning algorithm capable of predicting TKA implant
sizes using a large, multicenter database. Methods A consecutive series of primary TKA …

Introduction Anticipation of patient-specific component sizes prior to total knee arthroplasty
(TKA) is essential to avoid excessive cost associated with additional surgical trays and …

Background Preoperative radiographic templating for total knee arthroplasty (TKA) has been
shown to be inaccurate. Patient demographic data, such as gender, height, weight, age, and …

Background Despite reasonable accuracy with preoperative templating, the search for an
optimal planning tool remains an unsolved dilemma. The purpose of the present study was …

Aims The purpose of this investigation was to determine the relationship between height,
weight, and sex with implant size in total knee arthroplasty (TKA) using a multivariate linear …

Background Accurate estimation of implant size before surgery is crucial in preparing for
total knee arthroplasty. However, this task is time-consuming and labor-intensive. To …

Web-based personalized predictive tools in orthopedic surgery are becoming more widely
available. Despite rising numbers of these tools, many orthopedic surgeons may not know …

Accurately predicting component sizing in total knee arthroplasty (TKA) can ensure
appropriate implants are readily available, avoiding complications from malsizing while also …

Background Accurate sizing is critical for the overall success of a total knee arthroplasty
(TKA). This study's primary purpose was to investigate the ability to predict the tibial and …

Background Preoperative radiographic templating for total hip arthroplasty (THA) has been
shown to be inaccurate, although essential for streamlining operating room efficiency …