Machine Learning Surgical Predictions Have Limits

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 of data sources and variables included. The most widely used approach is supervised learning, which estimates the mapping function for new input data.