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 …

Within the literature concerning modern machine learning techniques applied to the medical
field, there is a growing interest in the application of these technologies to the nephrological …

Background: We aimed to develop and validate an automated machine learning (autoML)
prediction model for cardiac surgery-associated acute kidney injury (CSA-AKI). Methods …

Further research is required to overcome barriers to the validation and implementation of ML
models for AKI care. Simpler electronic systems within the electronic medical record can …

Vancomycin-associated acute kidney injury (AKI) continues to pose a major challenge to
both patients and healthcare providers. The purpose of this study is to construct a machine …

Background Total laparoscopic anterior resection (tLAR) and natural orifice specimen
extraction surgery (NOSES) has been widely adopted in the treatment of rectal cancer (RC) …

Background Despite the emergence of several promising machine learning models for
prediction of patients at risk of sepsis, investigation of factors that contribute to false positive …