Latest AI and machine learning research in urology for healthcare professionals.
PURPOSE: To clarify overlapping post-market obligations under the EU Artificial Intelligence Act (AI...
PURPOSE: Accurate preoperative prediction of preserved renal parenchymal volume (RPV) following part...
This study aimed to develop and evaluate a machine learning pipeline using multiphase contrast-enhan...
OBJECTIVES: This study identifies predictors of severe COVID-19 following completion of two-dose pri...
Acute kidney injury is a common perioperative complication that leads to significant downstream effe...
PURPOSE: To explore the role of MRI-based habitat radiomics in assessing the metastatic status of re...
BACKGROUND: Nephrolithiasis affects approximately 15% of the population and often remains undetected...
BACKGROUND: Traditional statistical models often fail to capture the complex dynamics influencing su...
Focal therapy offers a middle ground between active surveillance and whole-gland treatment for ...
BACKGROUND: With prolonged waiting times for deceased-donor kidney transplantation (DDKT) in Japan, ...
Cytopathology, often abbreviated as cytology, has a central role in the early detection of cancer, s...
BACKGROUND: Catheter-based urodynamic studies remain the standard for diagnosing lower urinary tract...
BACKGROUND AND OBJECTIVE: Most prostate cancer prevention strategies suggest lifestyle modifications...
Prostate cancer is among the most diagnosed malignancies in men worldwide and a leading cause of can...
PURPOSE: Interfractional prostate displacement challenges the accuracy of the delivered dose during ...
Biochemical recurrence (BCR) is a critical factor affecting the prognosis of prostate cancer (PCa) p...
Bloodstain pattern analysis (BPA) is a critical forensic science tool for reconstructing crime scene...
Surface-enhanced Raman spectroscopy (SERS) holds significant promise for identifying urinary tract i...
Fractal theory has emerged as a quantitative framework for characterizing the complex and heterogene...
OBJECTIVES: To evaluate intratumoral subregional and peritumoral radiomics for predicting pathologic...
Artificial intelligence (AI) algorithms leveraging digital pathology slides are currently transformi...