Latest AI and machine learning research in urology for healthcare professionals.
Exposure to three primary xenoestrogens (XEs), including phthalates, parabens, and phenols, has been...
BACKGROUND/OBJECTIVE: Longitudinal in vivo studies of murine xenograft models are widely utilized in...
PURPOSE OF REVIEW: This narrative review provides an overview of the use, differences, and clinical ...
BACKGROUND AND PURPOSE: Computed tomography (CT) imaging poses challenges for delineation of soft ti...
: Early safety outcomes following transcatheter aortic valve implantation (TAVI) for severe aortic s...
PURPOSE: While deep learning methods have shown great promise in improving the effectiveness of pros...
BACKGROUND: Bladder cancer (BLCA) exists a profound molecular diversity, with basal and luminal subt...
PURPOSE: Accurate prediction of adverse pathology (AP) in prostate cancer (PCa) patients is crucial ...
BACKGROUND: Research has helped to better understand renal cell carcinoma and enhance management of ...
. Deep learning (DL)-based automated contouring and treatment planning has been proven to improve th...
Bladder endoscopy enables the observation of intravesical lesion characteristics, making it an essen...
PURPOSE OF REVIEW: This review provides a critical analysis of recent advancements in active surveil...
Traditional methods for diagnosing chronic kidney disease (CKD) via laboratory data may not be capab...
BACKGROUND: Renal fibrosis is a critical factor in chronic kidney disease progression, with limited ...
The objective of this study was to employ machine learning to identify shared differentially express...
Bi-parametric magnetic resonance imaging (bpMRI) has become a pivotal modality in the detection and ...
BACKGROUND: People living with diabetes mellitus (DM) and chronic kidney disease (CKD) are at signif...
BACKGROUND: Radiomics analysis extracts high-dimensional features from medical images, which are use...
STUDY OBJECTIVE: The aim of this study was to investigate whether goal-directed treatment using arti...
BACKGROUND: The Predictive Optimal Trees in Emergency Surgery Risk (POTTER) calculator, a widely use...
Semi-supervised learning based on consistency learning offers significant promise for enhancing medi...