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 …

Artificial intelligence and its primary subfield, machine learning, have started to gain
widespread use in medicine, including the field of kidney transplantation. We made a review …

Background Kidney transplantation is the optimal treatment for patients with end-stage renal
disease. Short-and long-term kidney graft survival is influenced by a number of donor and …

Importance Type 2 diabetes increases the risk of progressive diabetic kidney disease, but
reliable prediction tools that can be used in clinical practice and aid in patients' …

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 Despite the increasing number of studies in breast cancer survival prediction,
there is little attention put toward deceased patients and their survival lengths. Moreover …

In the field of medicine, decision-making has traditionally been carried out based on the best
available scientific information and the experience of specialists using data found in analog …

Scientific publications about the application of machine learning models in healthcare often
focus on improving performance metrics. However, beyond often short-lived improvements …

Background: To predict mycophenolic acid (MPA) exposure in renal transplant recipients
using a deep learning model based on a convolutional neural network with bilateral long …

Background Drug-laboratory (lab) interactions (DLIs) are a common source of preventable
medication errors. Clinical decision support systems (CDSSs) are promising tools to …