Urology

[Robot-assisted Living Donor Nephrectomy - Technical Aspects and Initial Evidence].

Minimally invasive donor nephrectomy has become the standard procedure in most transplant centres over the past two decades and has contributed to a reduction in postoperative morbidity for the donor. Robot-assisted technology is an alternative to conventional (hand-assisted) laparoscopic technology and will find increasing use in the future. In this review article, we address technical aspects of...

Development and evaluation of a deep neural network for histologic classification of renal cell carcinoma on biopsy and surgical resection slides.

Renal cell carcinoma (RCC) is the most common renal cancer in adults. The histopathologic classification of RCC is essential for diagnosis, prognosis, and management of patients. Reorganization and classification of complex histologic patterns of RCC on biopsy and surgical resection slides under a microscope remains a heavily specialized, error-prone, and time-consuming task for pathologists. In t...

Early Coaching to Increase Water Intake in CKD.

INTRODUCTION: In observational studies, increased water intake improves kidney function but not in adults with CKD stage 3 and more. CKD WIT trial has...

Assessment of Risk Factors and Outcome of Early Versus Late Cytomegalovirus Infection Infection in Living-related D+/R + Renal Allograft Recipients.

INTRODUCTION: Cytomegalovirus infection (CMV) in a kidney transplant recipient (KTR) is a serious complication resulting in increased morbidity, morta...

Selective Suturing or Sutureless Technique in Robot-assisted Partial Nephrectomy: Results from a Propensity-score Matched Analysis.

BACKGROUND: Despite efforts aimed at preserving renal function, the functional decline after robot-assisted partial nephrectomy (RAPN) is not negligib...

Artificial Intelligence in Magnetic Resonance Imaging-based Prostate Cancer Diagnosis: Where Do We Stand in 2021?

CONTEXT: Men suspected of harboring prostate cancer (PCa) increasingly undergo multiparametric magnetic resonance imaging (mpMRI) and mpMRI-guided bio...

Functional outcomes after robot-assisted radical cystectomy: A review of literature.

Robot-assisted radical cystectomy has steadily gained wider acceptance among urologists compared with open and laparoscopic approaches. Robot-assisted...

Machine Learning in Body Composition Analysis.

Body composition analysis (BCA) generates objective anthropometric data that can inform prognostication and treatment decisions across a wide variety ...

In vivo evaluation of angulated needle-guide template for MRI-guided transperineal prostate biopsy.

PURPOSE: Magnetic resonance imaging (MRI)-guided transperineal prostate biopsy has been practiced since the early 2000s. The technique often suffers f...

Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network.

PURPOSE: Total kidney volume (TKV) is an important measure in renal disease detection and monitoring. We developed a fully automated method to segment...

Level 1 Evidence of Better Early Urinary Continence at 3 Months Following Robot-assisted Laparoscopic Radical Prostatectomy Compared with Laparoscopic Radical Prostatectomy. Results of the LAP-01 Randomised Controlled Trial.

Robotic-assisted radical prostatectomy following colo-rectal surgery: a user's guide.

To assess the feasibility and operative outcomes of RARP following colo-rectal surgery. A prospective database of patients undergoing RARP is maintain...

Prevalence and predictors of postoperative detrusor underactivity after robot-assisted radical prostatectomy: A prospective observational study.

OBJECTIVES: To identify the prevalence and predictors of postoperative detrusor underactivity during the early postoperative period after robot-assist...

Application of deep learning as a noninvasive tool to differentiate muscle-invasive bladder cancer and non-muscle-invasive bladder cancer with CT.

OBJECTIVE: To construct a deep-learning convolution neural network (DL-CNN) system for the differentiation of muscle-invasive bladder cancer (MIBC) an...

Machine Learning for Prediction and Risk Stratification of Lupus Nephritis Renal Flare.

BACKGROUND: Renal flare of lupus nephritis (LN) is strongly associated with poor kidney outcomes, and predicting renal flare and stratifying its risk ...

Establishing a Robot-Assisted Kidney Transplant Program: Independent Evaluation of the Learning Curve and Surgical Nuances.

Robot-assisted kidney transplantation (RAKT) is a technically challenging procedure and there has been limited reporting of its learning curve (LC), ...

Hybrid artificial fish particle swarm optimizer and kernel extreme learning machine for type-II diabetes predictive model.

The World Health Organization (WHO) estimated that in 2016, 1.6 million deaths caused were due to diabetes. Precise and on-time diagnosis of type-II d...

Artificial intelligence for the real world of breast screening.

Breast cancer screening with mammography reduces mortality in the women who attend by detecting high risk cancer early. It is far from perfect with va...

Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach.

OBJECTIVE: Hemorrhagic fever with renal syndrome (HFRS), one of the main public health concerns in mainland China, is a group of clinically similar di...

A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion.

BACKGROUND: A definitive diagnosis of prostate cancer requires a biopsy to obtain tissue for pathologic analysis, but this is an invasive procedure an...