Neural network-based modeling of the number of microbubbles generated with four circulation factors in cardiopulmonary bypass

Neural network-based modeling of the number of microbubbles generated with four circulation factors in cardiopulmonary bypass

Abstract The need for the estimation of the number of microbubbles (MBs) in cardiopulmonary bypass surgery has been recognized among surgeons to avoid postoperative neurological complications. MBs that exceed the diameter of human capillaries may cause endothelial disruption as well as microvascular...

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Bibliographic Details
Main Authors: Satoshi Miyamoto, Zu Soh, Shigeyuki Okahara, Akira Furui, Taiichi Takasaki, Keijiro Katayama, Shinya Takahashi, Toshio Tsuji
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-80810-3

Internet

https://doi.org/10.1038/s41598-020-80810-3

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