Machine Learning is being increasingly used in medicine to predict outcomes for total joint replacements, but researchers warn that the accuracy of these predictions is dependent on the quality and amount of data used. A study was conducted to assess the most widely used Machine Learning techniques, data sources, and limitations in this area.