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 …

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

Intradialytic hypotension (IDH) is the most common acute complication in hemodialysis (HD)
sessions and is associated with increased morbidity and mortality in HD patients. To prevent …

Managing anemia in hemodialysis patients can be challenging because of competing
therapeutic targets and individual variability. Because therapy recommendations provided …

Abstract Chronic Kidney Disease (CKD) anemia is one of the main common comorbidities in
patients undergoing End Stage Renal Disease (ESRD). Iron supplement and especially …

Artificial intelligence (AI) has been applied widely in almost every area of our daily lives, due
to the growth of computing power, advances in methods and techniques, and the explosion …

Background and Purpose Our previous study reported that erythroferrone (ERFE), a newly
identified hormone produced by erythroblasts, responded to recombinant human …

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: Current dialysis devices are not able to react when unexpected changes occur
during dialysis treatment or to learn about experience for therapy personalization …

Background Accurate measurement of hemoglobin concentration is essential for various
medical scenarios, including preoperative evaluations and determining blood loss …