Latest AI and machine learning research in nephrology for healthcare professionals.
We present the development and demonstration of a neural network (NN) model for fast and accurate prediction of whether or not a chosen analyte is focused by an isotachophoresis (ITP) buffer system. The NN model is useful in the rapid evaluation of possible ITP chemistries applicable to analytes of interest. We trained and tested the NN model for univalent species based on extensive data sets of o...
PURPOSE: Diabetes is a major public health challenge with widespread prevalence, often leading to complications such as Diabetic Nephropathy (DN)-a chronic condition that progressively impairs kidney function. In this context, it is important to evaluate if Machine learning models can exploit the inherent temporal factor in clinical data to predict the risk of developing DN faster and more accurat...
RATIONALE & OBJECTIVE: Patients with kidney failure have poor physical performance, but its trajectory is less clear. We examined physical function ov...
RATIONALE & OBJECTIVE: Chronic kidney disease is associated with significant morbidity and mortality in the general population, but little is known ab...
Renal pathologies often manifest as alterations in kidney size, providing a valuable avenue for employing dynamic parametric MRI as a means to derive ...
Automated evaluation of all glomeruli throughout the whole kidney is essential for the comprehensive study of kidney function as well as understanding...
Deep learning (DL) models have shown promise in detecting chronic kidney disease (CKD) from fundus photographs. However, previous studies have utilize...
One of the most crucial organs in the human body is the kidney. Usually, the patient does not realize the serious problems that arise in the kidneys i...
A non-invasive optical technique known as photoplethysmography (PPG) can be used to provide various physiological measurements and estimations. PPG ca...
BACKGROUND: Allocation of scarce organs for transplantation is ethically challenging. Artificial intelligence (AI) has been proposed to assist in live...
INTRODUCTION: Point-of-care ultrasonography (POCUS) has emerged as an important tool for examining critically ill patients. POCUS devices have become ...
Coral reef atherosclerosis of the paravisceral aorta is a rare disease whose description is confined to before contemporary vascular surgical techniqu...
INTRODUCTION: The rapid advancement of artificial intelligence and big data analytics, including descriptive, diagnostic, predictive, and prescriptive...
BACKGROUND: Acute kidney injury (AKI) is a common complication after pediatric cardiac surgery. And autologous blood transfusion (ABT) is an important...
BACKGROUND: Arteriovenous fistulae (AVF) and Arteriovenous Grafts (AVG) may present a problematic vascular access for renal replacement therapy (RRT),...
BACKGROUND AND OBJECTIVES: This study systematically explores the association between community green space and preventing kidney failure among middle...
BACKGROUND: Excess body weight is a risk factor for the progression of chronic kidney disease (CKD), but weight loss in CKD has been associated with h...
Liver transplantation is a life-saving procedure for patients with end-stage liver disease. There are two main challenges in liver transplant: finding...
UNLABELLED: This study is the first to investigate central auditory processing impairment in patients with slight decrease in renal function (PSR), wh...
PURPOSE: Kidney volume is important in the management of renal diseases. Unfortunately, the currently available, semi-automated kidney volume determin...