Latest AI and machine learning research in nephrology for healthcare professionals.
Robot-assisted radical cystectomy (RARC) is replacing open radical cystectomy (ORC) and requires cla...
This work was aimed to explore the role of CT angiography information provided by deep learning algo...
A transurethral prostate biopsy device is proposed in this paper, which can shoot a biopsy needle at...
BACKGROUND: International guidelines suggest the use of anatomic scores to predict surgical outcomes...
BACKGROUND AND OBJECTIVES: Direct immunofluorescence (DIF) is an important medical evaluation tool f...
This study was aimed to explore the magnetic resonance imaging (MRI) image features based on the fuz...
AIMS: Cardiovascular disease is the leading cause of death in chronic kidney disease (CKD) patients,...
BACKGROUND: Histopathological assessment of transplant biopsies is currently the standard method to ...
BACKGROUND: The goal of the Artificial Intelligence in Renal Scarring (AIRS) study is to develop mac...
Atrial septal defect accounts for 10-15% of congenital heart disease cases. Small-diameter atrial se...
OBJECTIVE: To assess the clinical practicability of the ensemble learning model established by Liu e...
INTRODUCTION: Outcome predictions of patients with congenital diaphragmatic hernia (CDH) still have ...
PURPOSE: This study aimed to explore the underlying mechanisms of Shenyankangfu tablet (SYKFT) in th...
Natural polymers provide a better alternative to synthetic polymers in the domain of drug delivery s...
PURPOSE: This study aimed to explore the predictive ability of deep learning (DL) for the common epi...
BACKGROUND: Computer-aided diagnosis (CAD) systems based on medical images could support physicians ...
Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft ...
BACKGROUND: Kidney allograft failure is a common cause of end-stage renal disease. We aimed to devel...
This study focused on the application of deep learning algorithms in the segmentation of CT images, ...
To identify preoperative characteristics in patients with renal masses that influence operative tim...
INTRODUCTION: Understanding heterogeneity in the prognosis of chronic kidney disease (CKD) has impli...