Factors influencing UK arthroplasty surgeons' decision-making between total and medial unicompartmental knee surgery: A vignette-based behavioural experiment.

Purpose: Surgical options for end-stage knee osteoarthritis (OA) include total and medial unicompartmental knee replacement (TKR and UKR). Deciding which surgery to perform is complex and ill-defined, yet it has important implications for patients and the health service. The study aimed to identify clinical and surgeon factors predicting surgeons' preferences.

Implant waste and associated costs in trauma and orthopaedic surgery: a systematic review.

Purpose: Trauma and orthopaedic (T&O) surgery relies on medical implants and materials, often resulting in metalwork wastage (prosthesis, screws, nails, and plates). This places an economic strain on healthcare services and the environment. Our primary outcome is to quantify the implant wastage across the literature, and secondarily investigate the associated costs in this specialty.

A radiographic artificial intelligence tool to identify candidates suitable for partial knee arthroplasty.

Introduction: Knee osteoarthritis is a prevalent condition frequently necessitating knee replacement surgery, with demand projected to rise substantially. Partial knee arthroplasty (PKA) offers advantages over total knee arthroplasty (TKA), yet its utilisation remains low despite guidance recommending consideration alongside TKA in shared decision making. Radiographic decision aids exist but are underutilised due to clinician time constraints.

Can ChatGPT make surgical decisions with confidence similar to experienced knee surgeons?

Background: Unicompartmental knee replacements (UKRs) have become an increasingly attractive option for end-stage single-compartment knee osteoarthritis (OA). However, there remains controversy in patient selection. Natural language processing (NLP) is a form of artificial intelligence (AI).