The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …

Kidney pathophysiology is often complex, nonlinear and heterogeneous, which limits the
utility of hypothetical-deductive reasoning and linear, statistical approaches to diagnosis and …

Study objective The goal of this study is to create a predictive, interpretable model of early
hospital respiratory failure among emergency department (ED) patients admitted with …

Rationale & Objective Although coronavirus disease 2019 (COVID-19) has been associated
with acute kidney injury (AKI), it is unclear whether this association is independent of …

Importance Acute kidney injury (AKI) is associated with increased morbidity and mortality in
hospitalized patients. Current methods to identify patients at high risk of AKI are limited, and …

Background It has been a matter of much debate whether the co-administration of
furosemide and albumin can achieve better diuresis and natriuresis than furosemide …

Results The recurrent neural network model for predicting intradialytic hypotension 1
achieved an area under the receiver operating characteristic curve of 0.94 (95% confidence …

Rationale & Objective Risk prediction tools for assisting acute kidney injury (AKI)
management have focused on AKI onset but have infrequently addressed kidney recovery …

Since the description ischuria renalis by William Heberden (1), AKI has remained a
prominent complication of critical illness. Beyond KRT, treatment has been limited by the …

Background Acute kidney injury (AKI) is commonly encountered in clinical practice and is
associated with poor patient outcomes and increased health care costs. Despite it posing …