A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery

This study shows that using various machine learning approaches can improve the accuracy of RAS case length predictions, which will increase utilization of this limited resource. Further work is needed to operationalize these findings.
Source: Journal of Medical Systems - Category: Information Technology Source Type: research