The Number of Microbubbles Generated During Cardiopulmonary Bypass Can Be Estimated Using Machine Learning From Suction Flow Rate, Venous Reservoir Level, Perfusion Flow Rate, Hematocrit Level, and Blood Temperature
This study introduces a neural network-based model to estimate the count rate of microbubbles (MBs) in cardiopulmonary bypass (CPB) systems, using suction flow rate,
Mar 17, 2024