Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: Machine learning (ML) models are increasingly used to predict acute kidney injury (AKI),...
Advanced gene editing tools have transformed oncology by facilitating precise molecular therapies ai...
Automated deep learning-based segmentation is increasingly used in medical imaging to enable rapid b...
Patients undergoing robot-assisted radical prostatectomy require complex counseling regarding treatm...
Ureteral injury is a serious complication of colorectal surgery. Current intraoperative localization...
Chronic kidney disease (CKD) poses a growing global health challenge. Using data from 953 locations,...
Purpose.In high-dose-rate (HDR) prostate brachytherapy procedures, needle placement solely relies on...
Nucleic acid therapeutics offer promise for precision cancer treatment, but are limited by inaccurat...
The relative use of shock wave lithotripsy (SWL) has declined with the expansion of endourological t...
The Cardiovascular-Kidney-Metabolic (CKM) syndrome reframes cardiovascular, kidney, and metabolic di...
Bisphenol A (BPA) is a ubiquitous environmental endocrine disruptor; its association with pancreatic...
BACKGROUND AND AIMS: Computed tomography texture analysis, powered by machine learning techniques, m...
Post-operative acute kidney injury (PO-AKI) is a frequent complication after non-cardiac surgery, su...
BACKGROUND AND AIM: Artificial intelligence (AI) is increasingly being integrated into robotic urolo...
Thermal ablation (TA), including microwave ablation, radiofrequency ablation, and cryoablation, is i...
Prognostication in end-stage kidney disease is fundamental to person-centered care and shared decisi...
BACKGROUND: Chronic kidney disease (CKD) is projected to become one of the leading causes of prematu...
PURPOSE: To develop and evaluate a machine learning-based approach for the interpretation of uroflow...
PURPOSE: To evaluate ChatGPT-4o in a real-world urological multidisciplinary tumour board (MTB), wit...
OBJECTIVE: Post-infarction ventricular septal rupture (PIVSR) is a fatal mechanical complication of ...
Deep learning offers hope for more efficient phylogenetic inference methods. However, it has yet to ...