Urology

Systems biology and machine learning approaches identify drug targets in diabetic nephropathy.

Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global...

Corticosteroids and mycophenolic acid analogues in immunoglobulin A nephropathy with progressive decline in kidney function.

BACKGROUND: A randomized controlled trial demonstrated a beneficial effect of corticosteroids (CS) +...

Usefulness of grayscale values measuring hypoechoic lesions for predicting prostate cancer: An experimental pilot study.

BACKGROUND: To ensure reproducibility and representativeness of hypoechoic lesions in transrectal ul...

Deep learning-based artificial intelligence applications in prostate MRI: brief summary.

Prostate cancer (PCa) is the most common cancer type in males in the Western World. MRI has an estab...

Automatic Evaluation of Histological Prognostic Factors Using Two Consecutive Convolutional Neural Networks on Kidney Samples.

BACKGROUND AND OBJECTIVES: The prognosis of patients undergoing kidney tumor resection or kidney don...

Comparative Analysis for Prediction of Kidney Disease Using Intelligent Machine Learning Methods.

Chronic kidney disease (CKD) is a major burden on the healthcare system because of its increasing pr...

Longitudinal, 5-year long-term outcomes for urinary continence and quality of life after robot-assisted radical prostatectomy in Japanese patients.

OBJECTIVES: The aim of this study was to investigate the longitudinal 5-year long-term outcomes for ...

Increasing efficiency and accuracy of magnetic interaction calculations in colloidal simulation through machine learning.

Calculating the magnetic interaction between magnetic particles that are positioned in close proximi...

Comment on "Perioperative and Oncologic Outcomes of Single-Port Multiport Robot-Assisted Radical Prostatectomy: A Meta-Analysis" by Li, et al.

Incorporating artificial intelligence in urology: Supervised machine learning algorithms demonstrate comparative advantage over nomograms in predicting biochemical recurrence after prostatectomy.

OBJECTIVE: After radical prostatectomy (RP), one-third of patients will experience biochemical recur...

Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.

In view of the growth of clinical risk prediction models using genetic data, there is an increasing ...

Re-evaluating the diagnostic efficacy of PSA as a referral test to detect clinically significant prostate cancer in contemporary MRI-based image-guided biopsy pathways.

INTRODUCTION: Modern image-guided biopsy pathways at diagnostic centres have greatly refined the inv...

Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning-Assisted Gland Analysis.

Prostate cancer treatment planning is largely dependent upon examination of core-needle biopsies. Th...

Forecasting of Patient-Specific Kidney Transplant Function With a Sequence-to-Sequence Deep Learning Model.

IMPORTANCE: Like other clinical biomarkers, trajectories of estimated glomerular filtration rate (eG...

The association of rs187238, rs19465518 and rs1946519 IL-8 polymorphisms with acute kidney injury in preterm infants.

BACKGROUND: Interleukin 18 (IL-18) promoter polymorphisms (-656G > T, -607C > A, and -137G > C) affe...

Preliminary Functional Outcome Following Robotic Intracorporeal Orthotopic Ileal Neobladder Suspension with Round Ligaments in Women with Bladder Cancer.

BACKGROUND: Chronic urinary retention (CUR) is a frequent complication after orthotopic neobladder (...

A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD.

The pathological mechanism of attention deficit hyperactivity disorder (ADHD) is incompletely specif...

Nursing Intervention Countermeasures of Robot-Assisted Laparoscopic Urological Surgery Complications.

The objective is to explore the application effect of comprehensive nursing intervention in preventi...

Association between Ureteral Clamping Time and Acute Kidney Injury during Robot-Assisted Radical Cystectomy.

Robot-assisted radical cystectomy (RARC) is replacing open radical cystectomy (ORC) and requires cla...

Ultrasound Elastography under Deep Learning Algorithm to Analyze the Therapeutic Effect of Clustered Regularly Interspaced Short Palindromic Repeats Short Hairpin Ribonucleic Acid Nanoparticles on Cervical Cancer.

This study aimed to analyze the effect of the deep learning algorithm on ultrasound elastography on ...

Does prior transurethral resection of prostate affect the functional and oncological outcomes of robot-assisted radical prostatectomy? A matched-pair analysis.

Robot-assisted radical prostatectomy (RARP) is challenging in men with prior history of transurethra...