Latest AI and machine learning research in urology for healthcare professionals.
PURPOSE: Pathologists diagnose prostate cancer (PCa) on hematoxylin and eosin (HE)-stained sections ...
BACKGROUND: Acute kidney injury (AKI) after kidney transplantation is one of the main causes of graf...
Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cance...
BACKGROUND: Machine learning (ML) models are being increasingly employed to predict the risk of deve...
OBJECTIVES: Develop an interpretable machine learning model to detect patients with newly diagnosed ...
PURPOSE OF REVIEW: By leveraging models such as large language models (LLMs) and generative computer...
BACKGROUND: In recent years, air pollution has been demonstrated to be associated with the occurrenc...
BACKGROUND: Urolithiasis, a prevalent condition characterized by a high rate of incidence and recurr...
Radiocontrast media is a major cause of nephrotoxic acute kidney injury(AKI). Contrast-enhanced CT(C...
INTRODUCTION: Hydrogel spacers (HS) are designed to minimise the radiation doses to the rectum in pr...
OBJECTIVE: This study developed and validated a stacked ensemble machine learning model to predict t...
Feline chronic kidney disease (CKD) is one of the most frequently encountered diseases in veterinary...
BACKGROUND: This study employed a convolutional neural network (CNN) to analyze computed tomography ...
BACKGROUND: The pathogenesis and progression of renal cell carcinoma (RCC) involve complex programme...
This study was conducted to develop and validate a novel deep reinforcement learning (DRL) algorithm...
This research aims to design and validate a machine learning model to predict the probability of uri...
BACKGROUND: To compare the influence of rectal susceptibility artifacts on the subjective evaluation...
This study investigates the role of basement membrane-related genes in kidney fibrosis, a significan...
BACKGROUND: The mortality rates of prostate and testicular cancer are higher mortality in the northe...
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...