Latest AI and machine learning research in urology for healthcare professionals.
OBJECTIVES: To evaluate the role of combined intravoxel incoherent motion and diffusion kurtosis ima...
A total of 739 patients underwent RARP as initial treatment for PCa from November 2011 to October 20...
The aim of this study is to evaluate the major postoperative complication rate after robot-assisted ...
PURPOSE: Robot-assisted kidney transplantation (RAKT) is being increasingly performed at selected re...
In kidney transplantation, pairing recipients with the highest longevity with low-risk allografts to...
The field of Calculated Medicine has grown substantially over the last 7 decades. Comprised of objec...
Glomerulus morphology on renal pathology images provides valuable diagnosis and outcome prediction i...
OBJECTIVES: This study aimed to develop machine learning models for risk prediction of continuous re...
Advanced machine learning methods capable of capturing complex and nonlinear relationships can be us...
Urinary tract infections (UTIs), which can lead to pyelonephritis, urosepsis, and even death, are am...
BACKGROUND: Consolidative resection or cytoreductive radical prostatectomy (CRP) may benefit men wit...
Early diagnosis of prostate cancer, the most common malignancy in men, can improve patient outcomes....
Apparent treatment-resistant hypertension (aTRH), defined as blood pressure (BP) that remains uncont...
PURPOSE: To compare a previous model-based image reconstruction (MBIR) with a newly developed deep l...
Predicting postoperative incontinence beforehand is crucial for intensified and personalized rehabi...
OBJECTIVE: Automated methods for prostate segmentation on MRI are typically developed under ideal sc...
PURPOSE: To assess the effectiveness of a deep learning model using contrastenhanced ultrasound (CEU...
Cancer diseases constitute one of the most significant societal challenges. In this paper, we introd...
BACKGROUND: Robot-assisted radical prostatectomy (RARP) with extended lymphadenectomy (ePLND) is the...
OBJECTIVE: To test the ability of high-performance machine learning (ML) models employing clinical, ...
OBJECTIVE: To compare the outcomes between a modified Retzius-sparing robot-assisted radical prostat...