Using machine learning to predict perfusionists' critical decision-making during cardiac surgery

Roger D. Dias, Marco A. Zenati, Geoffrey Rance, Srey Rithy, David Arney, L. Chen, Rohan R. Paleja, Lauren R. Kennedy-Metz, Matthew C. Gombolay

Abstract: The cardiac surgery operating room is a high-risk and complex environment in which multiple experts work as a team to provide safe and excellent care to patients. During the cardiopulmonary bypass ...