Jorind Beqari, Joseph Powell, Jacob Hurd, Alexandra L Potter, Meghan McCarthy, Deepti Srinivasan, Danny Wang, James Cranor, Lizi Zhang, Kyle Webster, Joshua Kim, Allison Rosenstein, Zeyuan Zheng, Tung Ho Lin, Jing Li, Zhengyu Fang, Yuhang Zhang, Alex Anderson, James Madsen, Jacob Anderson, Anne Clark, Margaret E Yang, Andrea Nurko, Areej R El-Jawahri, Thoralf M Sundt, Serguei Melnitchouk, Arminder S Jassar, David D'Alessandro, Nikhil Panda, Lana Y Schumacher-Beal, Cameron D Wright, Hugh G Auchincloss, Uma M Sachdeva, Michael Lanuti, Yolonda L Colson, Nathaniel Langer, Asishana Osho, Chi-Fu Jeffrey Yang, Xiao Li
OBJECTIVE: To evaluate whether a machine learning algorithm (i.e. the "NightSignal" algorithm) can be used for the detection of postoperative complications prior to symptom onset after cardiothoracic surgery. SUMMARY BACKGROUND DATA: Methods that enable the early detection of postoperative complications after cardiothoracic surgery are needed. METHODS: This was a prospective observational cohort study conducted from July 2021 to February 2023 at a single academic tertiary care hospital...
March 14, 2024: Annals of Surgery