Background Currently, very few preventive or therapeutic strategies are used for mechanical
ventilation (MV)-associated severe acute kidney injury (AKI). Objectives We developed …

Background Acute Kidney Injury (AKI) is a major complication in patients admitted to
Intensive Care Units (ICU), causing both clinical and economic burden on the healthcare …

Objectives There are many studies of acute kidney injury (AKI) diagnosis models lack of
external validation and prospective validation. We constructed the models using three …

Background Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in
the intensive care unit (ICU). Our purpose in this study is to develop and externally validate a …

Acute kidney injury (AKI) is a common complication in critically ill patients and is associated
with long-term complications and an increased mortality. This work presents preliminary …

Background The number of studies applying machine learning (ML) to predict acute kidney
injury (AKI) has grown steadily over the past decade. We assess and critically appraise the …

Background Sepsis-associated acute kidney injury (SA-AKI) is common in critically ill
patients, which is associated with significantly increased mortality. Existing mortality …

Background: Acute kidney injury (AKI) represents a significant global health challenge,
leading to increased patient distress and financial health care burdens. The development of …

Abstract Background and Aims Acute kidney injury (AKI) has a substantial impact on global
disease burden of Chronic Kidney Disease. To assist physicians with the timely diagnosis of …

Background Early diagnosis of acute kidney injury (AKI) is a major challenge in the intensive
care unit (ICU). The AKIpredictor is a set of machine-learning-based prediction models for …