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.

中文翻译：

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体外循环的管理算法和人工智能系统

本文介绍了管理算法，以支持操作员使用人工智能系统在体外循环期间选择最佳代谢管理策略。我们开发了用于识别评估代谢参数的最佳方法的算法。市场上已经存在用于与代谢监测系统接口的体外程序的不同管理算法，并应用于临床实践。这些算法可以为选择最佳代谢策略提供指导，以减少人为错误和优化管理。