Artificial intelligence approaches to improve kidney care

Parisa Rashidi; Azra Bihorac

doi:10.1038/s41581-019-0243-3

Artificial intelligence approaches to improve kidney care

Nat Rev Nephrol. 2020 Feb;16(2):71-72. doi: 10.1038/s41581-019-0243-3.

Authors

Parisa Rashidi¹, Azra Bihorac²

Affiliations

¹ iHeal Lab, Department of Medicine, Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
² Precision and Intelligent Systems in Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA. abihorac@ufl.edu.

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.

Publication types

Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Review

MeSH terms

Acute Kidney Injury / epidemiology*
Artificial Intelligence*
Biopsy
Deep Learning
Electronic Health Records
Humans
Image Interpretation, Computer-Assisted
Kidney / diagnostic imaging*
Kidney / pathology*
Kidney Transplantation
Nephrectomy
Postoperative Complications / epidemiology*
Renal Insufficiency, Chronic / classification
Renal Insufficiency, Chronic / diagnostic imaging*
Renal Insufficiency, Chronic / metabolism
Transplants / pathology
Ultrasonography

Abstract

Publication types

MeSH terms

Grants and funding