Urology

The Multi-Institutional Experience in Single-Port Robotic Transvesical Simple Prostatectomy for Benign Prostatic Hyperplasia Management. Letter.

Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation.

Deep neural networks are known to be data-driven and label noise can have a marked impact on model p...

Shadow-Consistent Semi-Supervised Learning for Prostate Ultrasound Segmentation.

Prostate segmentation in transrectal ultrasound (TRUS) image is an essential prerequisite for many p...

Objective and Subjective Assessment of Bladder Function after Robot-assisted Laparoscopic Radical Hysterectomy for Early-stage Cervical Cancer.

STUDY OBJECTIVE: To examine whether objective bladder function after robot-assisted radical hysterec...

Deep learning body-composition analysis of clinically acquired CT-scans estimates creatinine excretion with high accuracy in patients and healthy individuals.

Assessment of daily creatinine production and excretion plays a crucial role in the estimation of re...

3D laparoscopic prostatectomy: results of multicentre study.

INTRODUCTION: Three-dimensional laparoscopic prostatectomy (3D LRP) is a potentially cost-effective ...

Sample Size Calculation for Clinical Trials of Medical Decision Support Systems with Binary Outcome.

Currently, software products for use in medicine are actively developed. Among them, the dominant sh...

The learning curve for open and minimally-invasive kidney transplantation: a systematic review.

INTRODUCTION: There is lack of evidence on the impact of surgeons' learning curve on postoperative o...

Are nephrometry scores accurate for the prediction of outcomes in patients with renal angiomyolipoma treated with robot-assisted partial nephrectomy? A multi-institutional analysis.

BACKGROUND: Prediction of complications and surgical outcomes is of outmost importance even in patie...

Magnetic-Powered Janus Cell Robots Loaded with Oncolytic Adenovirus for Active and Targeted Virotherapy of Bladder Cancer.

A unique robotic medical platform is designed by utilizing cell robots as the active "Trojan horse" ...

Machine learning-based detection of aberrant deep learning segmentations of target and organs at risk for prostate radiotherapy using a secondary segmentation algorithm.

The output of a deep learning (DL) auto-segmentation application should be reviewed, corrected if ne...

Using machine learning techniques to predict antimicrobial resistance in stone disease patients.

PURPOSE: Artificial intelligence is part of our daily life and machine learning techniques offer pos...

Perioperative outcomes following robot-assisted partial nephrectomy for renal cell carcinoma according to surgeon generation.

OBJECTIVE: The experience of performing robot-assisted partial nephrectomy (RAPN) is associated with...

Outcomes of Retzius-sparing versus conventional robot-assisted radical prostatectomy: A KSER update series systematic review and meta-analysis.

BACKGROUND: Robotic-assisted radical prostatectomy(RARP) is widely used to surgically treat of local...

Deep-learning segmentation of ultrasound images for automated calculation of the hydronephrosis area to renal parenchyma ratio.

PURPOSE: We investigated the feasibility of measuring the hydronephrosis area to renal parenchyma (H...

Prediction of the composition of urinary stones using deep learning.

PURPOSE: This study aimed to predict the composition of urolithiasis using deep learning from urinar...

Robotic nephroureterectomy in the management of upper tract urothelial cancer: inching toward standard of care?

Upper-tract urothelial carcinoma is a relatively rare malignancy. Current guidelines strongly recomm...

Efficacy of the opened legs position for protecting against postoperative rhabdomyolysis after robot-assisted radical prostatectomy: A propensity score-matched analysis of perioperative outcomes.

OBJECTIVES: The aim of the present study was to clarify the relationships of intraoperative surgical...

Discrete protein metric (DPM): A new image similarity metric to calculate accuracy of deep learning-generated cell focal adhesion predictions.

Understanding cell behaviors can provide new knowledge on the development of different pathologies. ...

AI-based optimization for US-guided radiation therapy of the prostate.

OBJECTIVES: Fast volumetric ultrasound presents an interesting modality for continuous and real-time...

Machine Learning-Based Ultrasound Radiomics for Evaluating the Function of Transplanted Kidneys.

The aim of the study described here was to investigate the value of different machine learning model...