Latest AI and machine learning research in nephrology for healthcare professionals.
Laparoscopic nephroureterectomy (LNU) has become popular in treating upper urinary tract urothelial...
Effective learning and modelling of spatial and semantic relations between image regions in various ...
Growing evidence suggests that sustained concentrated urine contributes to chronic metabolic and kid...
OBJECTIVE: To determine the expressions of serum adiponectin and visfatin in patients with hypertens...
OBJECTIVE: To develop and validate artificial intelligence models for the prediction of cognitive im...
Although still in its infancy, artificial intelligence (AI) analysis of kidney biopsy images is anti...
A practical research method integrating data-driven machine learning with conventional model-driven ...
Neuromorphic engineering and artificial intelligence demands hardware elements that emulates synapse...
The oncological impact of positive surgical margins (PSM) after robot-assisted partial nephrectomy (...
Convolutional neural network (CNN)-based image analysis applications in digital pathology (eg, tissu...
Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh most comm...
An 85-year-old woman presented with a stomachache after a meal and was admitted to the previous clin...
BACKGROUND AND OBJECTIVES: Hemodialysis complications remain a critical threat among dialysis patien...
BACKGROUND: The risk of disability in older adults with hypertension is substantially high, and pred...
INTRODUCTION: Renal cell carcinoma (RCC) in solitary kidney (SK) represents a challenging scenario. ...
BACKGROUND: An increasing number of transplant centers have adopted robot-assisted living donor neph...
OBJECTIVE: The prevention of hypertension in primary care requires an effective and suitable hyperte...
Diabetes is a chronic disease that can cause several forms of chronic damage to the human body, incl...
Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of signif...
The aim of this study was to evaluate the feasibility and safety of a novel robotic system (KD-SR-0...
An accurate estimation of glomerular filtration rate (GFR) is clinically crucial for kidney disease ...