Advances in Fluid Assessment and Kidney Injury Prediction

JAMA ◽  
2019 ◽  
Vol 322 (10) ◽  
pp. 918
Author(s):  
Jennifer Abbasi
Keyword(s):  
Kidney Injury ◽  
Injury Prediction ◽  
Fluid Assessment

scholarly journals Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Xing Song ◽  
Alan S. L. Yu ◽  
John A. Kellum ◽  
Lemuel R. Waitman ◽  
Michael E. Matheny ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Acute Kidney Injury ◽  
Kidney Injury ◽  
Major Barrier ◽  
Injury Prediction ◽  
The Us ◽  
Performance Deterioration ◽  
Research Gap ◽  
Clinical Adoption ◽  
Cross Site

Abstract Artificial intelligence (AI) has demonstrated promise in predicting acute kidney injury (AKI), however, clinical adoption of these models requires interpretability and transportability. Non-interoperable data across hospitals is a major barrier to model transportability. Here, we leverage the US PCORnet platform to develop an AKI prediction model and assess its transportability across six independent health systems. Our work demonstrates that cross-site performance deterioration is likely and reveals heterogeneity of risk factors across populations to be the cause. Therefore, no matter how accurate an AI model is trained at the source hospital, whether it can be adopted at target hospitals is an unanswered question. To fill the research gap, we derive a method to predict the transportability of AI models which can accelerate the adaptation process of external AI models in hospitals.

scholarly journals Acute kidney injury prediction in cardiac surgery patients by a urinary peptide pattern: a case-control validation study

Critical Care ◽  
2016 ◽  
Vol 20 (1) ◽  
Author(s):  
Jochen Metzger ◽  
William Mullen ◽  
Holger Husi ◽  
Angelique Stalmach ◽  
Stefan Herget-Rosenthal ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Cardiac Surgery ◽  
Validation Study ◽  
Kidney Injury ◽  
Case Control ◽  
Injury Prediction ◽  
Peptide Pattern ◽  
Urinary Peptide

scholarly journals Acute kidney injury prediction following elective cardiac surgery: AKICS Score

2007 ◽  
Vol 72 (5) ◽  
pp. 624-631 ◽  
Author(s):  
H. Palomba ◽  
I. de Castro ◽  
A.L.C. Neto ◽  
S. Lage ◽  
L. Yu
Keyword(s):  
Acute Kidney Injury ◽  
Cardiac Surgery ◽  
Kidney Injury ◽  
Injury Prediction ◽  
Elective Cardiac Surgery

Automated Continuous Acute Kidney Injury Prediction and Surveillance: A Random Forest Model

2019 ◽  
Vol 94 (5) ◽  
pp. 783-792 ◽  
Author(s):  
Caitlyn Chiofolo ◽  
Nicolas Chbat ◽  
Erina Ghosh ◽  
Larry Eshelman ◽  
Kianoush Kashani
Keyword(s):  
Acute Kidney Injury ◽  
Random Forest ◽  
Kidney Injury ◽  
Random Forest Model ◽  
Injury Prediction ◽  
Forest Model
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