Latest AI and machine learning research in nephrology for healthcare professionals.
A decision support system (DSS) was developed to predict postoperative outcome of a kidney stone tre...
Histopathological images contain morphological markers of disease progression that have diagnostic a...
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...
BACKGROUND: Acute kidney injury (AKI) is frequent in patients resuscitated from cardiac arrest (CA) ...
OBJECTIVES: Haemorrhagic fever with renal syndrome (HFRS) is a serious threat to public health in Ch...
BACKGROUND: In this study, we aimed to investigate the mid-term effects of left ventricular assist d...
The use of artificial intelligence in medicine is currently an issue of great interest, especially w...
In this study, we present the application of a novel capillary electrophoresis (CE) method in combin...
BACKGROUND: Elderly patients with chronic kidney disease (CKD) are often excluded from clinical tria...
BACKGROUND: Doppler ultrasound (DU) monitoring early after arteriovenous fistula (AVF) creation allo...
Applying data mining and machine learning (ML) techniques to clinical data might identify predictive...
RATIONALE AND OBJECTIVES: To evaluate the ability of artificial neural networks (ANN) fed with radio...