Can machine learning provide preoperative predictions of biological hemostasis after extracorporeal circulation for cardiac surgery?

Our machine learning algorithms accurately predicted prothrombin ratio and fibrinogen assay and less accurately platelet counts. As such, our models could provide an aid-decision tool for the anesthetist in the operating room; future clinical trials addressing this hypothesis are warranted.