Nephrology

Comparison between robot-assisted versus open nephroureterectomy for upper tract urothelial carcinoma: outcomes from a pooled analysis.

The present study aimed to compare the efficacy and safety between robot-assisted nephroureterectomy (RANU) and open nephroureterectomy (ONU) for the treatment of upper tract urothelial carcinoma (UTUC). We systematically searched four electronic databases (PubMed, Embase, Web of Science, and Cochrane Library) to locate pertinent studies published in English up to January 2023. The primary outcome...

Comparison of Perioperative Outcomes and Complications of Laparoscopic and Robotic Nephroureterectomy Approaches in Patients with Upper-Tract Urothelial Carcinoma.

BACKGROUND: For medical institutions without robotic equipment, it remains uncertain whether laparoscopic radical nephroureterectomy (LNU) can achieve results similar to those of robotic surgery for the treatment of upper tract urothelial carcinoma (UTUC). This meta-analysis aimed to compare the efficacy and safety of robot-assisted radical nephroureterectomy (RANU) with that of LNU using a large ...

Predicting survival after radiosurgery in patients with lung cancer brain metastases using deep learning of radiomics and EGFR status.

The early prediction of overall survival (OS) in patients with lung cancer brain metastases (BMs) after Gamma Knife radiosurgery (GKRS) can facilitate...

Robotic Transanal Minimally Invasive Surgery (rTAMIS): Large Tubulovillous Adenoma.

Many transanal platforms have recently evolved to manage rectal pathologies. Transanal endoscopic microsurgery (TEM) and transanal laparoscopic minima...

Rapid diagnosis of membranous nephropathy based on serum and urine Raman spectroscopy combined with deep learning methods.

Membranous nephropathy is the main cause of nephrotic syndrome, which has an insidious onset and may progress to end-stage renal disease with a high m...

Techniques and outcomes of robot-assisted partial nephrectomy for the treatment of multiple ipsilateral renal masses.

BACKGROUND: Patients with multiple ipsilateral renal masses have an augmented risk of metachronous contralateral lesions and are likely to undergo rep...

Intraoperative mean arterial pressure and acute kidney injury after robot-assisted laparoscopic prostatectomy: a retrospective study.

Intraoperative hemodynamics can affect postoperative kidney function. We aimed to investigate the effect of intraoperative mean arterial pressure (MAP...

Impact of perinephric fat volume and the Mayo Adhesive Probability score on time to clamping in robot-assisted partial nephrectomy.

The aim of this study is to evaluate the association of perinephric fat volume (PNFV) and the Mayo Adhesive Probability (MAP) score with time to clamp...

Multi-phase synthetic contrast enhancement in interventional computed tomography for guiding renal cryotherapy.

PURPOSE: Minimally invasive treatments for renal carcinoma offer a low rate of complications and quick recovery. One drawback of the use of computed t...

Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review.

OBJECTIVES: In this systematic review we aimed at assessing how artificial intelligence (AI), including machine learning (ML) techniques have been dep...

Ureteropelvic junction obstruction and renal calculi: Simultaneous treatment by robot-assisted laparoscopic pyeloplasty and transcutaneous retrograde flexible ureteroscopy. Technique description and early outcomes.

BACKGROUND: Ureteropelvic junction obstruction (UPJO) and renal calculi are associated in 20 to 30% of cases and treatment is mandatory. The simultane...

Surgical planning of arteriovenous fistulae in routine clinical practice: A machine learning predictive tool.

BACKGROUND: Arteriovenous fistula (AVF) is the preferred vascular access (VA) for hemodialysis, but it is associated with high non-maturation and fail...

Digital Health Transformers and Opportunities for Artificial Intelligence-Enabled Nephrology.

Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning.

OBJECTIVE: Early detection and precise diagnosis of breast cancer (BC) plays an essential part in enhancing the diagnosis and improving the breast can...

Artificial Intelligence and Machine Learning in Dialysis: Ready for Prime Time?

Electrocardiogram Detection of Pulmonary Hypertension Using Deep Learning.

BACKGROUND: Pulmonary hypertension (PH) is life-threatening, and often diagnosed late in its course. We aimed to evaluate if a deep learning approach ...

Recognizing pathology of renal tumor from macroscopic cross-section image by deep learning.

OBJECTIVES: This study aims to develop and evaluate the deep learning-based classification model for recognizing the pathology of renal tumor from mac...

A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer.

BACKGROUND: The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are a first-line therapy for non-small cell lung cancer (NSC...

Identify Hard-to-Place Kidneys for Early Engagement in Accelerated Placement With a Deep Learning Optimization Approach.

Recommended practices that follow match-run sequences for hard-to-place kidneys succumb to many declines, accruing cold ischemic time and exacerbating...

Robot-assisted sutureless partial nephrectomy for the treatment of fifteen bilateral renal masses in a patient with Von Hippel-Lindau syndrome: a case report from a high-volume robotic center.

Renal cell carcinoma is among major causes of death in patients with Von Hippel-Lindau (VHL) syndrome, and it usually presents with multiple and bilat...