Journal of cardiothoracic and vascular anesthesia
Apr 23, 2023
Artificial intelligence has the potential to improve the care that is given to patients; however, the predictive models created are only as good as the base data used in their design. Perioperative blood management presents a complex clinical conundr...
Journal of cardiothoracic and vascular anesthesia
May 7, 2022
OBJECTIVES: Identifying patients with low left ventricular ejection fraction (LVEF) and monitoring LVEF responses to treatment are important clinical goals. Can a deep-learning algorithm predict pediatric LVEF within clinically acceptable error?
Journal of cardiothoracic and vascular anesthesia
Dec 24, 2021
OBJECTIVE: To assess preoperative hemoglobin and perioperative red blood cell transfusion in children undergoing cardiac surgery after the implementation of a preoperative patient blood management (PBM) clinic with oral iron supplementation.
Journal of cardiothoracic and vascular anesthesia
Apr 1, 2021
OBJECTIVES: The aim of this study was to present an artificial neural network (ANN) model for the accurate estimation of in-hospital mortality and to demonstrate the validity of the model with real data and a comparison with conventional multiple lin...
Journal of cardiothoracic and vascular anesthesia
Aug 24, 2020
Echocardiography is a unique diagnostic tool for intraoperative monitoring and assessment of patients with cardiovascular diseases. However, there are high levels of interoperator variations in echocardiography interpretations that could lead to inac...