Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review.

ABSTRACT:

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. Published studies were presented from two points of view: What medical aspects were covered? What AI/ML algorithms have been used?

Methods

We searched four electronic databases or studies that used AI/ML in hemodialysis (HD), peritoneal dialysis (PD), and kidney transplantation (KT). Sixty-nine studies were split into three categories: AI/ML and HD, PD, and KT, respectively. We identified 43 trials in the first group, 8 in the second, and 18 in the third. Then, studies were classified according to the type of algorithm.

Results

AI and HD trials covered: (a) dialysis service management, (b)

SUBMITTER: Burlacu A 

PROVIDER: S-EPMC7303737 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature