Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: To investigate the impact of different urinary diversion (UD) techniques on the peri- an...
Accurate and automatic segmentation of medical images is a key step in clinical diagnosis and analys...
Artificial intelligence (AI) has recently become a trending tool and topic regarding productivity es...
This study aimed to develop and validate a combined nomogram model based on superb microvascular ima...
Prehabilitation programs play a key role in optimizing patient experiences and outcomes after surger...
: Kidney ultrasound (US) imaging is a significant imaging modality for evaluating kidney health and ...
Continuous cutaneous urinary diversion is challenging when the appendix is physically unavailable. T...
OBJECTIVE: To evaluate quality of life (QOL) after non-nerve-sparing, robot-assisted radical prostat...
Angiotensin-converting enzyme 2 activity reflects non-classical renin-angiotensin system upregulati...
RATIONALE AND OBJECTIVES: Prostate MRI quality is essential in guiding prostate biopsies. However, a...
PURPOSE: Aim of the present study was to develop and validate a nomogram to accurately predict the r...
Intravenous indocyanine green (IV ICG) is regarded as a safe immunofluorescence agent used to assess...
The Banff Digital Pathology Working Group (DPWG) was established with the goal to establish a digita...
PURPOSE: Meticulous manual delineations of the prostate and the surrounding organs at risk are neces...
OBJECTIVE: The American Medical Association recommends health information to be written at a 6th gra...
We developed a 3D convolutional neural network (CNN)-based automatic kidney segmentation method for ...
BACKGROUND: Acute kidney injury (AKI) is a primary feature of renal complications in patients with s...
PURPOSE: Urinary incontinence is a common complication following robot-assisted radical prostatectom...
OBJECTIVE: We aimed to develop deep learning classifiers for assessing therapeutic response on bone ...