Latest AI and machine learning research in nephrology for healthcare professionals.
PURPOSE: An automated accurate segmentation for dynamic contrast-enhanced magnetic resonance (DCE-MR...
BACKGROUND: Early diagnosis of acute kidney injury (AKI) is a major challenge in the intensive care ...
Artificial intelligence (AI) is expected to support clinical judgement in medicine. We constructed a...
BACKGROUND: Chronic kidney disease (CKD) patients show an increased burden of atherosclerosis and hi...
The classifier of support vector machine (SVM) learning for assessing the quality of arteriovenous f...
BACKGROUND: International variation in anemia assessment and management practices in chronic kidney ...
BACKGROUND: Although complex machine learning models are commonly outperforming the traditional simp...
BACKGROUND: A simple equation for glomerular filtration rate (GFR) measurement based on only plasma ...
The proper management of renal lithiasis presents a challenge, with the recurrence rate of the disea...
Machine learning analyses allow for the consideration of numerous variables in order to accommodate ...
A decision support system (DSS) was developed to predict postoperative outcome of a kidney stone tre...
PURPOSE: To identify novel biomarkers of IgA nephropathy (IgAN) through bioinformatics analysis and ...
Untethered small-scale robots have great potential for biomedical applications. However, critical ba...
Background and Purpose- Discrimination of the stability of intracranial aneurysms is critical for de...
Electro-oxidation is an effective approach for the removal of 2-chlorophenol from wastewater. The mo...
BACKGROUND: Hemodialysis mainly relies on the "artificial kidney," which plays a very important role...
BACKGROUND: Experimental studies have shown fibroblast growth factor 23 FGF23)-mediated upregulation...
BACKGROUND: Kidney transplantation should improve abnormalities that are common during dialysis trea...
BACKGROUND: In Mexico, out of the total number of transplants it was reported, in 2014, a frequency ...
BACKGROUND: Burn critical care represents a high impact population that may benefit from artificial ...
With the advent and increased accessibility of deep neural networks (DNNs), complex properties of hi...