Latest AI and machine learning research in urology for healthcare professionals.
Background and Objectives: To evaluate the efficacy of bladder-prostatic muscle reconstruction and b...
The goal of this study was to assess the feasibility of three models for detecting hydronephrosis th...
Acute kidney injury (AKI) is a common complication after a surgery, especially in cardiac and aortic...
Multi-phase computed tomography (CT) is widely adopted for the diagnosis of kidney cancer due to the...
BACKGROUND: Plasma cells as an important component of immune microenvironment plays a crucial role i...
OBJECTIVES: To investigate the impact of extended pelvic lymph node dissection (ePLND) on urinary in...
The examination of urinary sediment crystals, the sedimentary components of urine, is useful in scre...
Radical nephroureterectomy with bladder cuff excision (BCE) is the standard of care all high-risk u...
PURPOSE: This study aimed to examine whether preoperative Prostate Imaging Reporting and Data System...
Machine learning (ML) methods have been implemented in radiotherapy to aid virtual specific-plan ver...
A positive surgical margin (PSM) is reported to have some connection to the occurrence of biochemica...
Acute kidney injury (AKI) is a complex syndrome with a paucity of therapeutic development. One aspec...
To evaluate the differences in baseline chronic kidney disease (CKD) status in correlations between...
To evaluate the feasibility and intraoperative technical parameters of the new robot-assisted surgi...
BACKGROUND: Retzius-sparing robot-assisted radical prostatectomy (RARP) is not yet universally accep...
To compare outcomes of robot-assisted partial nephrectomy (RAPN) and percutaneous tumor ablation (P...
To maintain a surgeon's concentration, reduce fatigue, and train young surgeons, surgical procedures...
As the growing popularity of robotic-assisted laparoscopic procedures for the treatment of renal can...
BACKGROUND: Ipsilateral synchronous renal and ureteric tumor is uncommon. Nephron sparing surgery is...
INTRODUCTION: The clinical management of pT3a pathologic-upstaged renal cell carcinoma (RCC) patient...
OBJECTIVES: To compare the diagnostic performance of a novel deep learning (DL) method based on T2-w...