The diagnostic sub-categorization of cauda equina syndrome (CES) is used to aid communication between doctors and other
In the UK, multidisciplinary teamwork for patients with hip fracture has been shown to reduce mortality and improves health-related quality of life for patients, while also reducing hospital bed days and associated healthcare costs. However, despite rapidly increasing numbers of fragility fractures, multidisciplinary shared care is rare in low- and middle-income countries around the world. The HIPCARE trial will test the introduction of multidisciplinary care pathways in five low- and middle-income countries in South and Southeast Asia, with the aim to improve patients’ quality of life and reduce healthcare costs. Cite this article:
There is increasing popularity in the use of artificial intelligence and machine-learning techniques to provide diagnostic and prognostic models for various aspects of Trauma & Orthopaedic surgery. However, correct interpretation of these models is difficult for those without specific knowledge of computing or health data science methodology. Lack of current reporting standards leads to the potential for significant heterogeneity in the design and quality of published studies. We provide an overview of machine-learning techniques for the lay individual, including key terminology and best practice reporting guidelines. Cite this article:
Musculoskeletal diseases are having a growing impact worldwide. It is therefore crucial to have an evidence base to most effectively and efficiently implement future health services across different healthcare systems. International trials are an opportunity to address these challenges and have many potential benefits. They are, however, complex to set up and deliver, which may impact on the efficient and timely delivery of a project. There are a number of models of how international trials are currently being delivered across a range of orthopaedic patient populations, which are discussed here. The examples given highlight that the key to overcoming these challenges is the development of trusted and equal partnerships with collaborators in each country. International trials have the potential to address a global burden of disease, and in turn optimize the benefit to patients in the collaborating countries and those with similar health services and care systems. Cite this article:
Artificial intelligence and machine-learning analytics have gained extensive popularity in recent years due to their clinically relevant applications. A wide range of proof-of-concept studies have demonstrated the ability of these analyses to personalize risk prediction, detect implant specifics from imaging, and monitor and assess patient movement and recovery. Though these applications are exciting and could potentially influence practice, it is imperative to understand when these analyses are indicated and where the data are derived from, prior to investing resources and confidence into the results and conclusions. In this article, we review the current benefits and potential limitations of machine-learning for the orthopaedic surgeon with a specific emphasis on data quality.
