Nephrology

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...

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...

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...

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 ...

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...

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....

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...

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...

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 decl...

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) syndrom...

Deep learning of renal scans in children with antenatal hydronephrosis.

INTRODUCTION: Antenatal hydronephrosis (ANH) is one of the most common anomalies identified on prena...

Robot-assisted complex urinary tract reconstruction using intestinal segments: redefining the paradigm.

Complex urinary tract reconstruction has significantly advanced with the increasing use of robot-ass...

Tubule-U-Net: a novel dataset and deep learning-based tubule segmentation framework in whole slide images of breast cancer.

The tubule index is a vital prognostic measure in breast cancer tumor grading and is visually evalua...

Machine learning-based techniques to improve lung transplantation outcomes and complications: a systematic review.

BACKGROUND: Machine learning has been used to develop predictive models to support clinicians in mak...

Application of percutaneous nephrolithotomy combined with da Vinci Xi robot in complicated upper urinary tract repair surgery: A case report.

Duplex kidney and ureter is a congenital malformation. Few patients present with hydronephrosis caus...

Robotic Partial Nephrectomy for Bilateral Renal Masses.

PURPOSE OF REVIEW: There are very few data on patients undergoing robot-assisted partial nephrectomy...

Near-infrared ray catheter and indocyanine green via nephrostomy in delayed robotic reconstruction of injured ureter: A case report.

Delayed surgical reconstruction of iatrogenic ureteral injuries is often a challenging procedure bec...

Artificial intelligence for the prediction of acute kidney injury during the perioperative period: systematic review and Meta-analysis of diagnostic test accuracy.

BACKGROUND: Acute kidney injury (AKI) is independently associated with morbidity and mortality in a ...