Machine Learning and Decision Making in Aortic Arch Repair

Decision making during aortic arch surgery regarding cannulation strategy and nadir temperature are important in reducing risk, though there is a need to determine the best individualized strategy in a data driven fashion. Using machine learning (ML), we modelled the risk of death or stroke in elective aortic arch surgery based upon patient characteristics and intraoperative decisions.

Source: The Journal of Thoracic and Cardiovascular Surgery - November 25, 2023 Category: Cardiovascular & Thoracic Surgery Authors: Rashmi Nedadur, Nitish Bhatt, Jennifer Chung, Michael W.A. Chu, Maral Ouzounian, Bo Wang, Canadian Thoracic Aortic Collaborative (CTAC) Source Type: research