Leveling Up: A Review of Machine Learning Models in The Cardiac ICU.

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 ICU 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 as to describe the future of artificial intelligence (AI) in the cardiac ICU, especially in regards to the prediction of successful ventilatory weaning, ARDS, arrhythmia, and acute kidney injury.