Crawling Before Running: Advanced Analytics in Orthopaedics Research with MATLAB – A Focus on Data Quality

Machine learning and artificial intelligence are terms that are applied to the future of healthcare at a dizzying rate in both lay media and scientific literature. Sports and orthopaedic medicine are areas that would benefit immensely from the deployment of advanced algorithms to establish treatment value and predict patient outcomes. However, the reality is far removed from the vision, in that the quality of data is lacking to feed such algorithms, and previous efforts lack large-scale integration of the diverse data sources required in this area.

In this presentation, Milad Ebrahimi from EBM Analytics will walk through a range of simple deployments of MATLAB^® that focus on establishing the quality of data collected in orthopaedic and sports medicine, as well as establishing feedback loops with distributed sites to improve data collection processes and organisation. He will also present a vision for the future where MATLAB keeps up with an agile startup to integrate complex data and reduce the time to deploy accurate algorithms built on quality data.