Latest AI and machine learning research in urology for healthcare professionals.
PURPOSE: Non-invasive grading of prostate cancer (PCa) from micro-ultrasound (micro-US) could expedi...
OBJECTIVE: To develop and validate a deep learning model for interpretation of fluorescence confocal...
Breast cancer prognosis and treatment outcomes are shaped by intricate interplay between tumor biolo...
Organophosphate flame retardants (OPFRs), as emerging substitutes for halogenated flame retardants, ...
PURPOSE: Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising a...
BACKGROUND AND AIMS: Main pancreatic duct dilation occurs in both main-duct intraductal papillary mu...
Diabetic Kidney Disease (DKD) is strongly related to ferroptosis, an iron-dependent form of programm...
OBJECTIVE: This study aims to delineate the molecular mechanisms through which aristolochic acid (AA...
BACKGROUND: Endometrial cancer, the most common gynecological malignancy, represents about 5 % of al...
OBJECTIVES: Acute kidney injury (AKI) is a common and serious condition associated with prolonged ho...
INTRODUCTION AND HYPOTHESIS: Chronic lower urinary tract symptoms (LUTS) are characterised by persis...
Lung cancer remains the leading cause of cancer-related mortality worldwide, with recurrence or canc...
The treatment paradigm for locally advanced rectal cancer is undergoing a fundamental transformation...
BACKGROUND: Recent reports from UNOS and INTERMACS highlight that left ventricular assist devices (L...
PURPOSE OF REVIEW: Augmented reality and related extended-reality technologies have been increasingl...
BACKGROUND AND OBJECTIVE: Accurate classification of Renal Cell Carcinoma (RCC) subtypes is essentia...
PURPOSE: Urinary proteomics may help us improve our understanding and classification of asthma. We s...
Metastatic castration‑resistant prostate cancer (mCRPC) remains a lethal disease due to universal re...
The quality of Whole Slide Images (WSI) is a determining factor for proper diagnosis and prognosis, ...
PURPOSE: Accurate segmentation of prostate cancer on magnetic resonance (MR) images is crucial for p...
INTRODUCTION AND HYPOTHESIS: High-quality patient education materials are essential in urogynecology...