Nephrology

Structure-induced Intelligence of Liquid Crystal Elastomers.

Liquid crystal elastomers (LCEs) are active soft matter-based materials with strong stimulus respons...

OSCA-finder: Redefining the assay of kidney disease diagnostic through metabolomics and deep learning.

Liquid chromatography-mass spectrometry (LC-MS) is a platform for urine and blood sample analysis. H...

Predicting blood pressure from face videos using face diagnosis theory and deep neural networks technique.

Hypertension is a major cause of cardiovascular diseases. Accurate and convenient measurement of blo...

Cephalic inferior vena cava non-clamping technique versus standard procedure for robot-assisted laparoscopic level II-III thrombectomy: a prospective cohort study.

BACKGROUND: Renal tumour can invade the venous system and ~4-10% patients with renal tumour had veno...

Single-port vs multi-port robot-assisted renal surgery: analysis of perioperative outcomes for excision of high and low complexity renal masses.

There is emerging but limited data assessing single-port (SP) robot-assisted surgery as an alternati...

Assessing the Trade-off Between the Safety and Effectiveness of Off-clamp Robotic Partial Nephrectomy for Renal Masses with a High RENAL Score: A Propensity Score-matched Comparison of Perioperative and Functional Outcomes in a Multicenter Analysis.

BACKGROUND: Tumors with a high nephrometry score represent a challenging surgical scenario for which...

Robot-assisted partial nephrectomy in morbidly obese patients: a VCQI database study.

To compare perioperative outcomes following robot-assisted partial nephrectomy (RAPN) in patients wi...

Trends and perspectives for improving quality of chronic kidney disease care: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.

Chronic kidney disease (CKD) affects over 850 million people globally, and the need to prevent its d...

Effects of remote ischemic preconditioning on renal protection in patients undergoing robot-assisted laparoscopic partial nephrectomy.

We aimed to evaluate the renoprotective effects of remote ischemic preconditioning (RIPC) in patient...

Identifying acute kidney injury subphenotypes using an outcome-driven deep-learning approach.

OBJECTIVE: Acute kidney injury (AKI), a common condition on the intensive-care unit (ICU), is charac...

Will deep learning change outcomes in liver transplant?

One-Step Robot-Assisted Complete Urinary Tract Extirpation in Man with End-Stage Renal Disease on Dialysis: The First Case Report.

Urothelial carcinoma (UC) could be observed in urinary bladder (UBUC) and upper urinary tracts (UTUC...

Combating hypertension beyond genome-wide association studies: Microbiome and artificial intelligence as opportunities for precision medicine.

The single largest contributor to human mortality is cardiovascular disease, the top risk factor for...

Application of robotics in abdominal organ transplantation: A bibliometric analysis.

BACKGROUND: Robotic transplant surgery has garnered worldwide attention since 2002. Discussions on t...

Outcomes of prostate cancer patients after robot-assisted radical prostatectomy compared with open radical prostatectomy in Korea.

Limited evidence exists regarding the value of robot-assisted radical prostatectomy (RARP) in promot...

Machine-learning predictive model of pregnancy-induced hypertension in the first trimester.

In the first trimester of pregnancy, accurately predicting the occurrence of pregnancy-induced hyper...

A hybrid approach to full-scale reconstruction of renal arterial network.

The renal vasculature, acting as a resource distribution network, plays an important role in both th...

Deep learning-based multi-model approach on electron microscopy image of renal biopsy classification.

BACKGROUND: Electron microscopy is important in the diagnosis of renal disease. For immune-mediated ...

Impact of tumor contact surface area on collecting system entry in robot-assisted partial nephrectomy: a retrospective analysis.

BACKGROUND: Collecting system entry in robot-assisted partial nephrectomy may occur even in cases sh...

Muscle magnetic resonance characterization of STIM1 tubular aggregate myopathy using unsupervised learning.

PURPOSE: Congenital myopathies are a heterogeneous group of diseases affecting the skeletal muscles ...

Effective deep learning classification for kidney stone using axial computed tomography (CT) images.

INTRODUCTION: Stone formation in the kidneys is a common disease, and the high rate of recurrence an...