Urology

Gene expression based survival prediction for cancer patients-A topic modeling approach.

Cancer is one of the leading cause of death, worldwide. Many believe that genomic data will enable u...

Nonparametric chemical descriptors for the calculation of ligand-biopolymer affinities with machine-learning scoring functions.

The computational prediction of ligand-biopolymer affinities is a crucial endeavor in modern drug di...

Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis.

In this paper, the urinary bladder cancer diagnostic method which is based on Multi-Layer Perceptron...

Fuzzy logic-based clinical decision support system for the evaluation of renal function in post-Transplant Patients.

OBJECTIVES: In the context of the gradual development of artificial intelligence in health care, the...

Development and external validation of a nomogram to predict lymph node invasion after robot assisted radical prostatectomy.

BACKGROUND: Prediction of lymph node invasion (LNI) after radical prostatectomy has been rarely asse...

The low-protein diet for chronic kidney disease: 8 years of clinical experience in a nephrology ward.

BACKGROUND: Guidelines indicate that a low-protein diet (LPD) delays dialysis in severe chronic kidn...

Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks.

It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to th...

Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.

PURPOSE: To evaluate the performance of machine learning (ML)-based computed tomography (CT) radiomi...

Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer.

PURPOSE: The purpose of the study was to provide a comprehensive review of recent machine learning (...

Development of objective indicators for quantitative analysis of sodium intake: the sodium to potassium ratio of second-void urine is correlated with 24-hour urinary sodium excretion.

BACKGROUND/OBJECTIVES: To date, sodium intake has been evaluated based on spot urine instead of 24-h...

Re: Robot-Assisted Radical Prostatectomy after Focal Therapy: Oncological, Functional Outcomes and Predictors of Recurrence.

Re: Magnetic-Assisted Robotic Surgery: Initial Case Series of Reduced-Port Robotic Prostatectomy.

Re: Retzius-Sparing versus Standard Robot-Assisted Radical Prostatectomy: A Prospective Randomized Comparison on Immediate Continence Rates.

Machine Learning to Predict Acute Kidney Injury.

A neural network-based algorithm for predicting the spontaneous passage of ureteral stones.

In this study, a prototype artificial neural network model (ANN) was used to estimate the stone pass...

Illuminating Clues of Cancer Buried in Prostate MR Image: Deep Learning and Expert Approaches.

Deep learning algorithms have achieved great success in cancer image classification. However, it is ...

Toward Automated Bladder Tumor Stratification Using Confocal Laser Endomicroscopy.

Urothelial carcinoma of the bladder (UCB) is the most common urinary cancer. White-light cystoscopy...

Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study.

A mechanism to predict graft failure before the actual kidney transplantation occurs is crucial to ...

Antibiotic therapy in patients with high prostate-specific antigen: Is it worth considering? A systematic review.

: To address the question of whether antibiotic therapy can obviate the need for prostate biopsy (PB...

Estimating Residual Native Kidney Urea Clearance in Hemodialysis Patients with and without 24-Hour Urine Volume.

RATIONALE AND OBJECTIVE: Quantification of residual native kidney function (RKF) is rarely performed...

Is obesity a contraindication for kidney donation?

INTRODUCTION: To enlarge the donor pool, kidney donors with obesity have been considered. We hypothe...