Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND: In ambulatory care settings, physicians largely rely on clinical guidelines and guidelin...
Triple-negative breast cancer (TNBC) cells are deficient in estrogen, progesterone and ERBB2 recepto...
Peritoneal membrane damage during chronic peritoneal dialysis is the main cause of that treatment fa...
PURPOSE: To identify optimal classification methods for computed tomography (CT) radiomics-based pre...
OBJECTIVE: To develop a radial basis function (RBF) neural network and investigate its performance i...
Risk stratification of young patients with hypertension remains challenging. Generally, machine lear...
Robot-assisted partial nephrectomy (RAPN) is increasingly applied to renal hilar tumors. The presen...
Many drugs are developed for commonly occurring, well studied cancer drivers such as vemurafenib for...
Machine learning (ML) utilizes artificial intelligence to generate predictive models efficiently and...
Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both t...
OBJECTIVES: To assess the recall of a deep learning (DL) method to automatically detect kidney stone...
Due to the busy schedule of every human being in today's world, consciousness towards one's health h...
BACKGROUND: The purpose of this study was to build radiogenomics models from texture signatures deri...
Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increase...
Optical tissue transparency permits scalable cellular and molecular investigation of complex tissues...
BACKGROUND: In dialysis patients, non-adherence to oral cinacalcet adds complexity to the control of...
OBJECTIVES: To develop and evaluate the feasibility of an objective method using artificial intellig...
The aim of this study was to introduce the "ultrathin parenchyma" resection in a robot-assisted par...
BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Eval...
BACKGROUND: Cardiovascular diseases kill approximately 17 million people globally every year, and th...
Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potentia...