Latest AI and machine learning research in urology for healthcare professionals.
Radical prostatectomy (RP) is one of the standard treatments for localized prostate cancer. However, in terms of functional outcomes, there are aspects that still need improvements. We designed this prospective phase I/II clinical trial to assess the safety, clinical feasibility, and functional outcomes of hypothermic robot-assisted RP (RARP). Twenty patients with preoperative total 5-item Inter...
Practical human biofluid sensing requires a sensor device to differentiate patients from the normal group with high sensitivity and specificity. Label-free molecular identification from human biofluids allows direct classification of abnormal samples, providing insights for disease diagnosis and finding of new biomarkers. Here, we introduce a label-free surface-enhanced Raman scattering sensor bas...
Over the past years, convolutional neural networks based methods have dominated the field of medical image segmentation. But the main drawback of thes...
Renal cell carcinoma is among major causes of death in patients with Von Hippel-Lindau (VHL) syndrome, and it usually presents with multiple and bilat...
INTRODUCTION: Antenatal hydronephrosis (ANH) is one of the most common anomalies identified on prenatal ultrasound, found in up to 4.5% of all pregnan...
Complex urinary tract reconstruction has significantly advanced with the increasing use of robot-assisted procedures. Robotic surgery aims to achieve ...
In urethra-sparing radiation therapy, prostatic urinary tract visualization is important in decreasing the urinary side effect. A methodology has been...
BACKGROUND: The clinical impact of prolonged steep Trendelenburg position and CO pneumoperitoneum during robot-assisted radical cystectomy (RC) on int...
BACKGROUND: Artificial intelligence aided tumor segmentation has been applied in various medical scenarios and showed effectiveness in helping physici...
OBJECTIVES: To precisely predict prostate cancer (PCa) risk stratification, we constructed a machine learning (ML) model based on magnetic resonance i...
Dynamic contrast-enhanced MRI (DCE-MRI) is routinely included in the prostate MRI protocol for a long time; its role has been questioned. It provides ...
Robot-assisted surgery is likely to become the new standard of care for functional urology and neurourology. It has the potential to fill the gap that...
With introduction of the da Vinci single-port (SP) system, we evaluated which multiport (MP) robotic skills are naturally transferable to the SP plat...
PURPOSE: Computer-aided diagnosis (CAD) may improve prostate cancer (PCa) detection and support multiparametric magnetic resonance imaging (mpMRI) rea...
The simulation optimization method was used to the identification of light nonaqueous phase liquid (LNAPL) groundwater contamination source (GCS) with...
The aim of this study is to investigate the effect of bladder neck plication during transperitoneal robot-assisted radical prostatectomy (tRARP) on o...
PURPOSE OF REVIEW: Recently, several trials as well as registry-data analyses investigating the role of robot-assisted radical cystectomy with extra o...
Post-prostatectomy urinary incontinence is one of the greatest concerns for both patients and urologists. The aim of this study is to elucidate simple...
The aim of this study is to report our experience in minimally invasive management of rectovesical fistulae (RVFs). Between 2004 and 2021, 24 patien...
Automatic diagnosis of malignant prostate cancer patients from mpMRI has been studied heavily in the past years. Model interpretation and domain drift...