Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: Due to the low cancer-detection rate in patients with PIRADS category 3 lesions, we crea...
BACKGROUND: Histopathological assessment of transplant biopsies is currently the standard method to ...
BACKGROUND: Deep learning-based reconstruction (DLR) can potentially improve image quality by reduct...
OBJECTIVE: Annual countrywide data are scarce when comparing surgical approaches in terms of hospita...
BACKGROUND: The goal of the Artificial Intelligence in Renal Scarring (AIRS) study is to develop mac...
OBJECTIVE: To assess the clinical practicability of the ensemble learning model established by Liu e...
Worldwide, we have witnessed an expansion of robot-assisted laparoscopic surgery (RALS) and thanks t...
Generalizability of deep-learning (DL) model performance is not well understood and uses anecdotal a...
Automated methods for detecting prostate cancer and distinguishing indolent from aggressive disease ...
OBJECTIVES: To evaluate the detection rate of clinically significant prostate cancer (csPCa) in Magn...
INTRODUCTION AND OBJECTIVE: Urosymphyseal fistula (UF) with osteomyelitis most commonly occurs as a ...
Physiologically based pharmacokinetic (PBPK) modeling has the potential to play significant roles in...
BACKGROUND: With the development of minimally invasive surgery technology, patients with bladder can...
BACKGROUND: Focal therapy (FT) for prostate cancer is less invasive than radical treatment but carri...
OBJECTIVES: The disruption to surgical training and medical education caused by the global COVID-19 ...
BACKGROUND: Computer-aided diagnosis (CAD) systems based on medical images could support physicians ...
Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft ...
PURPOSE: To compare image quality in prostate MRI among standard T2-weighted imaging (T2-std), accel...
This study aims to compare perioperative and oncologic outcomes between matched cohorts of localize...
OBJECTIVE: To evaluate the association of low-value care with excess out-of-pocket expenditure among...
OBJECTIVES: This study aims to evaluate the ability of deep learning algorithms to detect and grade ...