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The potential for artificial intelligence to predict clinical outcomes in patients who have acquired acute kidney injury during the perioperative period

Authors: 

Barry J Kelly, Julio Chevarria, Barry O'Sullivan, George Shorten

Publication Type: 
Refereed Original Article
Abstract: 
Acute kidney injury (AKI) is a common medical problem in hospitalised patients worldwide that may result in negative physiological, social and economic consequences. Amongst patients admitted to ICU with AKI, over 40% have had either elective or emergency surgery prior to admission. Predicting outcomes after AKI is difficult and the decision on whom to initiate RRT with a goal of renal recovery or predict a long-term survival benefit still poses a challenge for acute care physicians. With the increasing use of electronic healthcare records, artificial intelligence may allow postoperative AKI prognostication and aid clinical management. Patients will benefit if the data can be readily accessed andregulatory, ethical and human factors challenges can be overcome.
Digital Object Identifer (DOI): 
10.1186/s13741-021-00219-y
Publication Status: 
Published
Publication Date: 
15/12/2021
Journal: 
Perioperative Medicine
Volume: 
10
Issue: 
1
Pages: 
49-53
Research Group: 
Institution: 
National University of Ireland, Cork (UCC)
Open access repository: 
No
Publication document: