The treatment of bacterial biofilms cultivated on knee arthroplasty implants using the bioelectric effect.

The formation of bacterial biofilms on knee arthroplasty implants can have catastrophic consequences. The aim of this study was to analyze the effectiveness of the bioelectric effect in the elimination of bacterial biofilms on cultivated knee arthroplasty implants. A novel device was designed to deliver a bioelectric effect on the surface of knee arthroplasty implants.

Walk-IT: An Open-Source Modular Low-Cost Smart Rollator.

Rollators are widely used in clinical rehabilitation for gait assessment, but gait analysis usually requires a great deal of expertise and focus from medical staff. Smart rollators can capture gait parameters autonomously while avoiding complex setups. However, commercial smart rollators, as closed systems, can not be modified; plus, they are often expensive and not widely available.

A Prediction Model for Primary Anterior Cruciate Ligament Injury Using Artificial Intelligence.

Background: Supervised machine learning models in artificial intelligence (AI) have been increasingly used to predict different types of events. However, their use in orthopaedic surgery has been limited.

Hypothesis: It was hypothesized that supervised learning techniques could be used to build a mathematical model to predict primary anterior cruciate ligament (ACL) injuries using a set of morphological features of the knee.