Objectives In this systematic review we aimed at assessing how artificial intelligence (AI),
including machine learning (ML) techniques have been deployed to predict, diagnose, and …

Artificial intelligence is playing an increasingly important role in many fields of medicine,
assisting physicians in most steps of patient management. In nephrology, artificial …

Acute kidney injury (AKI), which is a common complication of acute illnesses, affects the
health of individuals in community, acute care and post-acute care settings. Although the …

Background. The purpose of this review is to depict current research and impact of artificial
intelligence/machine learning (AI/ML) algorithms on dialysis and kidney transplantation …

Dialysis adequacy is an important survival indicator in patients with chronic hemodialysis.
However, there are inconveniences and disadvantages to measuring dialysis adequacy by …

Measuring the blood urea nitrogen concentration is crucial to evaluate dialysis dose (Kt/V) in
patients with renal failure. Although frequent measurement is needed to avoid inadequate …

A huge array of data in nephrology is collected through patient registries, large
epidemiological studies, electronic health records, administrative claims, clinical trial …

The emergence of artificial intelligence and machine learning (ML) has revolutionized the
landscape of clinical medicine, offering opportunities to improve medical practice and …

Background: Renal transplantation is the treatment of choice for chronic kidney disease
(CKD) patients, but the shortage of kidneys and the disabling medical conditions these …

This paper introduces a novel transductive support vector machine (TSVM) model and
compares it with the traditional inductive SVM on a key problem in bioinformatics-promoter …