Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit

Adv Chronic Kidney Dis. 2022 Sep;29(5):431-438. doi: 10.1053/j.ackd.2022.06.005.


Machine learning is the field of artificial intelligence in which computers are trained to make predictions or to identify patterns in data through complex mathematical algorithms. It has great potential in critical care to predict outcomes, such as acute kidney injury, and can be used for prognosis and to suggest management strategies. Machine learning can also be used as a research tool to advance our clinical and biochemical understanding of acute kidney injury. In this review, we introduce basic concepts in machine learning and review recent research in each of these domains.

Keywords: AKI prediction; Algorithms; Artificial intelligence; ICU Nephrology; Machine learning.

Publication types

  • Review
  • Research Support, N.I.H., Extramural

MeSH terms

  • Acute Kidney Injury* / diagnosis
  • Acute Kidney Injury* / therapy
  • Artificial Intelligence*
  • Critical Care
  • Humans
  • Intensive Care Units
  • Machine Learning