Division of Cardiothoracic Surgery, Heart and Vascular Institute, HonorHealth, Scottsdale, Ariz.
Arizona College of Osteopathic Medicine, Glendale.
Am J Med. 2023 Oct;136(10):979-984. doi: 10.1016/j.amjmed.2023.05.015. Epub 2023 Jun 19.
Machine learning has emerged as a significant tool to augment the medical decision-making process. Studies have steadily accrued detailing algorithms and models designed using machine learning to predict and anticipate pathologic states. The cardiac intensive care unit is an area where anticipation is crucial in the division between life and death. In this paper, we aim to review important studies describing the utility of machine learning algorithms to describe the future of artificial intelligence in the cardiac intensive care unit, especially in regards to the prediction of successful ventilatory weaning, acute respiratory distress syndrome, arrhythmia, and acute kidney injury.
机器学习已经成为增强医疗决策过程的重要工具。越来越多的研究详细描述了使用机器学习设计的算法和模型，以预测和预判病理状态。心脏重症监护病房是一个生死攸关的地方，预测在这里至关重要。本文旨在回顾重要的研究，描述机器学习算法在心脏重症监护病房人工智能未来的应用，特别是在成功预测通气撤机、急性呼吸窘迫综合征、心律失常和急性肾损伤方面的应用。
