Nephrology

Deep learning-based decision forest for hereditary clear cell renal cell carcinoma segmentation on MRI.

BACKGROUND: von Hippel-Lindau syndrome (VHL) is an autosomal dominant hereditary syndrome with an in...

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...

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 laparos...

Overcoming Diagnostic Delays in Pulmonary Hypertension With Deep-Learning ECG Analysis.

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) af...

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

Many transanal platforms have recently evolved to manage rectal pathologies. Transanal endoscopic mi...

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...

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 c...

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 ef...

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 qui...

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 A...

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), includ...

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% ...

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 ...

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

Artificial Intelligence in Continuous Kidney Replacement Therapy.

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 en...

Cautious Optimism: Artificial Intelligence and Acute Kidney Injury.

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....

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 firs...