Purpose Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with
high mortality and associated morbidity. The objective of this study is to develop and …

Background Severe sepsis and septic shock are among the leading causes of death in the
USA. While early prediction of severe sepsis can reduce adverse patient outcomes, sepsis …

Background Acute kidney injury (AKI) is an adverse event that carries significant morbidity.
Given that interventions after AKI occurrence have poor performance, there is substantial …

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 …

Artificial intelligence (AI), as an advanced science technology, has been widely used in
medical fields to promote medical development, mainly applied to early detections, disease …

Background Despite apparent promise and the availability of numerous examples in the
literature, machine learning models are rarely used in practice in ICU units. This mismatch …

Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at
an optimal time, either with hemodialysis or kidney transplantation, is crucial for patient's …

Acute kidney injury (AKI) is a serious clinical comorbidity with clear short-term and long-term
prognostic implications for inpatients. The diversity of risk factors for AKI has been …

Purpose Acute kidney injury (AKI) is a deleterious complication after total knee arthroplasty
(TKA). The purposes of this study were to identify preoperative risk factors and develop a …

Antibiotic-associated acute kidney injury (AA-AKI) is quite common, especially among
hospitalized patients; however, little is known about risk factors or mechanisms of why AA …