Management algorithms and artificial intelligence systems for cardiopulmonary bypass

This article introduces management algorithms to support operators in choosing the best strategy for metabolic management during cardiopulmonary bypass using artificial intelligence systems. We developed algorithms for the identification of the optimal way for assessing metabolic parameters. Different management algorithms for extracorporeal procedures interfaced with metabolic monitoring systems already exist on the market and are applied in clinical practice. These algorithms could provide guidance for selecting the best metabolic strategy with the aim at reducing human error and optimizing management.

[1]  M. Schijven,et al.  A Review on the Current Applications of Artificial Intelligence in the Operating Room , 2021, Surgical innovation.

[2]  I. Condello.  Venous reservoir volume measurement and monitoring, perspective in goal directed perfusion , 2021, Perfusion.

[3]  F. Merkle,et al.  Comparison of a perfusion simulator to a clinical operating room: evaluation of eye tracking data and subjective perception. A pilot study , 2020, Perfusion.

[4]  J. Shah,et al.  Artificial intelligence in cardiothoracic surgery. , 2020, Minerva cardioangiologica.

[5]  G. Santarpino,et al.  Associations between oxygen delivery and cardiac index with hyperlactatemia during cardiopulmonary bypass , 2020, JTCVS techniques.

[6]  T. Gudbjartsson,et al.  2019 EACTS/EACTA/EBCP guidelines on cardiopulmonary bypass in adult cardiac surgery. , 2019, British journal of anaesthesia.

[7]  I. Condello.  The flow of time in cardiopulmonary bypass. , 2019, Artificial organs.

[8]  E. Hessel.  What's New in Cardiopulmonary Bypass. , 2019, Journal of cardiothoracic and vascular anesthesia.

[9]  David Tsay,et al.  From Machine Learning to Artificial Intelligence Applications in Cardiac Care. , 2018, Circulation.

[10]  K. Booth,et al.  Successful management of membrane oxygenator failure during cardiopulmonary bypass--the importance of safety algorithm and simulation drills. , 2012, The journal of extra-corporeal technology.

[11]  M. Ranucci,et al.  Oxygen delivery during cardiopulmonary bypass and acute renal failure after coronary operations. , 2005, The Annals of thoracic surgery.

[12]  Anis S Baraka,et al.  End-tidal CO2 for prediction of cardiac output following weaning from cardiopulmonary bypass. , 2004, The journal of extra-corporeal technology.

[13]  C. Wiesenack,et al.  Adequacy of perfusion during hypothermia: regional distribution of cardiopulmonary bypass flow, mixed venous and regional venous oxygen saturation - hypothermia and distribution of flow and oxygen. , 2003, The Thoracic and cardiovascular surgeon.