Latest AI and machine learning research in urology for healthcare professionals.
OBJECTIVES: Postoperative urinary incontinence recovery following robot-assisted laparoscopic prosta...
Dose delivery uncertainty is a major concern in proton therapy, adversely affecting the treatment pr...
In candidates to robot-assisted radical prostatectomy (RARP) for locally advanced (iT3) prostate can...
Convolutional neural network (CNN)-based image analysis applications in digital pathology (eg, tissu...
PURPOSE: Cystectomy associated with non-continent ileal diversion is a common surgery in patients wi...
BACKGROUND: An accurate preoperative assessment of Non-Muscle-Invasive Bladder Cancer (NMIBC) and Mu...
Background and Objective: Blood loss represents a long-standing concern of radical prostatectomy (RP...
In recent years, data-driven, deep-learning-based models have shown great promise in medical risk pr...
OBJECTIVE: To compare the perioperative outcomes of patients with complex renal tumors treated with ...
Laparoscopic simple prostatectomy (LSP) and robot-assisted simple prostatectomy (RASP) are important...
BACKGROUND: Robot-assisted extravesical ureteral reimplantation (REVUR) is a well established approa...
Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh most comm...
PURPOSE: The complex and elaborate structure of the urinary system presents surgeons with difficulty...
To report early institutional experience with the single-port robotic platform and compare perioper...
Coronary artery stenosis resistance (SR) is a key factor for noninvasive calculations of fractional ...
We evaluate the diagnostic performance of deep learning artificial intelligence (AI) for bladder can...
PURPOSE: The first aim was to generate and compare synthetic-CT (sCT) images using a conditional gen...