Nephrology

The association of rs187238, rs19465518 and rs1946519 IL-8 polymorphisms with acute kidney injury in preterm infants.

BACKGROUND: Interleukin 18 (IL-18) promoter polymorphisms (-656G > T, -607C > A, and -137G > C) affect serum IL- 18 (sIL-18) levels and are associated with renal injury.

Association between Ureteral Clamping Time and Acute Kidney Injury during Robot-Assisted Radical Cystectomy.

Robot-assisted radical cystectomy (RARC) is replacing open radical cystectomy (ORC) and requires clamping of the ureters, resulting in a predisposition to postrenal acute kidney injury (AKI). We investigated the association between ureteral clamping or its duration and acute/chronic postoperative kidney function. Patients who underwent radical cystectomy (robotic or open) at two tertiary instituti...

CT Image Feature Diagnosis on the Basis of Deep Learning Algorithm for Preoperative Patients and Complications of Transcatheter Aortic Valve Implantation.

This work was aimed to explore the role of CT angiography information provided by deep learning algorithm in the diagnosis and complications of the di...

Ultrasound-guided paravertebral nerve block anesthesia for percutaneous endoscopic laser unroofing treatment of symptomatic simple renal cysts-An innovative ambulatory surgery mode.

OBJECTIVE: This study was designed to evaluate the feasibility, efficacy, and safety of percutaneous ureteroscopy laser unroofing as an ambulatory sur...

Concurrently bendable and rotatable continuum tubular robot for omnidirectional multi-core transurethral prostate biopsy.

A transurethral prostate biopsy device is proposed in this paper, which can shoot a biopsy needle at different angles to take samples from multiple lo...

Simplified PADUA renal (SPARE) nephrometry score validation and long-term outcomes after robot-assisted partial nephrectomy.

BACKGROUND: International guidelines suggest the use of anatomic scores to predict surgical outcomes after partial nephrectomy (PN). We aimed at valid...

Classification of renal biopsy direct immunofluorescence image using multiple attention convolutional neural network.

BACKGROUND AND OBJECTIVES: Direct immunofluorescence (DIF) is an important medical evaluation tool for renal pathology. In the DIF images, the deposit...

Risk Factors of Restroke in Patients with Lacunar Cerebral Infarction Using Magnetic Resonance Imaging Image Features under Deep Learning Algorithm.

This study was aimed to explore the magnetic resonance imaging (MRI) image features based on the fuzzy local information C-means clustering (FLICM) im...

Chronic kidney disease and subclinical abnormalities of left heart mechanics in the community.

AIMS: Cardiovascular disease is the leading cause of death in chronic kidney disease (CKD) patients, although the pathophysiological mechanisms are no...

Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study.

BACKGROUND: Histopathological assessment of transplant biopsies is currently the standard method to diagnose allograft rejection and can help guide pa...

Artificial Intelligence Assessment of Renal Scarring (AIRS Study).

BACKGROUND: The goal of the Artificial Intelligence in Renal Scarring (AIRS) study is to develop machine learning tools for noninvasive quantification...

Robotic, totally endoscopic atrial septal defect repair.

Atrial septal defect accounts for 10-15% of congenital heart disease cases. Small-diameter atrial septal defects diagnosed during infancy or early adu...

The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study.

OBJECTIVE: To assess the clinical practicability of the ensemble learning model established by Liu et al. in estimating glomerular filtration rate (GF...

A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study.

INTRODUCTION: Outcome predictions of patients with congenital diaphragmatic hernia (CDH) still have some limitations in the prenatal estimate of postn...

Exploring the Underlying Mechanism of Shenyankangfu Tablet in the Treatment of Glomerulonephritis Through Network Pharmacology, Machine Learning, Molecular Docking, and Experimental Validation.

PURPOSE: This study aimed to explore the underlying mechanisms of Shenyankangfu tablet (SYKFT) in the treatment of glomerulonephritis (GN) based on ne...

Concomitant robot-assisted laparoscopic surgeries for upper and lower urinary tract malignancies: a comprehensive literature review.

Worldwide, we have witnessed an expansion of robot-assisted laparoscopic surgery (RALS) and thanks to the global adoption of high-resolution diagnosti...

PEGylated ethyl cellulose micelles as a nanocarrier for drug delivery.

Natural polymers provide a better alternative to synthetic polymers in the domain of drug delivery systems (DDSs) because of their renewability, bioco...

Deep learning predicts epidermal growth factor receptor mutation subtypes in lung adenocarcinoma.

PURPOSE: This study aimed to explore the predictive ability of deep learning (DL) for the common epidermal growth factor receptor (EGFR) mutation subt...

A neural network for glomerulus classification based on histological images of kidney biopsy.

BACKGROUND: Computer-aided diagnosis (CAD) systems based on medical images could support physicians in the decision-making process. During the last de...

Deep learning identified pathological abnormalities predictive of graft loss in kidney transplant biopsies.

Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft failure. Here we sought an objective, quantitative...