Abstract
Artificial intelligence is increasingly being used to improve diagnosis and prognostication for acute and chronic kidney diseases. Studies published in 2019 relied on a variety of available data sources towards this objective, including electronic health records, intraoperative physiological signals, kidney ultrasound imaging, and digitized biopsy specimens.