Latest AI and machine learning research in urology for healthcare professionals.
Artificial intelligence is expected to help identify excellent candidates in drug discovery. However...
Tubular injury is the most common cause of acute kidney injury. Histopathological diagnosis may help...
BACKGROUND: Renal artery pseudoaneurysm following partial nephrectomy is a rare entity, the incidenc...
Deep learning algorithms have demonstrated remarkable potential in clinical diagnostics, particularl...
MRI has firmly established itself as a mainstay for the detection, staging and surveillance of prost...
OBJECTIVES: To distinguish histological subtypes of renal tumors using radiomic features and machine...
INTRODUCTION: Semi-quantitative scoring of various parameters in renal biopsy is accepted as an impo...
Exposure to hexavalent chromium damages genetic materials like DNA and chromosomes, further elevatin...
Predicting the probability of having the plan approved by the physician is important for automatic t...
The diagnostic accuracy of cystoscopy varies according to the knowledge and experience of the perfo...
PURPOSE: Patients with spinal cord injuries (SCIs) experience variable urinary symptoms and quality ...
PURPOSE: To explore diagnostic deep learning for optimizing the prostate MRI protocol by assessing t...
BACKGROUND: Accurate estimation of the glomerular filtration rate (GFR) is clinically crucial for de...
The study aimed to evaluate the impact of abdominal drain placement (vs. omission) on perioperative ...
PURPOSE: Robot-assisted radical prostatectomy (RARP) is a common surgical procedure for the treatmen...
Prostate cancer patients often have other health conditions and take anticoagulants. It was believed...
Urease, a pivotal enzyme in nitrogen metabolism, plays a crucial role in various microorganisms, inc...
Urinary cytology using the Paris system is still the method of choice for screening high-grade uroth...
PURPOSE: Machine learning (ML) models presented an excellent performance in the prognosis prediction...
Khorana score (KS) is an established risk assessment model for predicting cancer-associated thrombos...
BACKGROUND: Whole-mount histopathology (WMH) has been a powerful tool to investigate the characteris...