Urology

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

Minimally invasive donor nephrectomy has become the standard procedure in most transplant centres ov...

An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy.

Prostate cancer is a leading cause of morbidity and mortality for adult males in the US. The diagnos...

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 classifica...

Early Coaching to Increase Water Intake in CKD.

INTRODUCTION: In observational studies, increased water intake improves kidney function but not in a...

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 co...

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-a...

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 magne...

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

Robot-assisted radical cystectomy has steadily gained wider acceptance among urologists compared wit...

Machine Learning in Body Composition Analysis.

Body composition analysis (BCA) generates objective anthropometric data that can inform prognosticat...

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 si...

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...

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.

Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer.

This study addresses the core issue facing a surgical team during breast cancer surgery: quantitativ...

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 prospectiv...

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...

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 different...

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, an...

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 b...

Comment on "Comparison of analgesic efficacy between rectus sheath blockade, intrathecal morphine with bupivacaine, and intravenous patient-controlled analgesia in patients undergoing robot-assisted laparoscopic prostatectomy: a prospective, observational clinical study".

Radiation dose calculation in 3D heterogeneous media using artificial neural networks.

PURPOSE: External beam radiotherapy (EBRT) treatment planning requires a fast and accurate method of...

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 m...