Latest AI and machine learning research in urology for healthcare professionals.
The clinical, granular data in electronic health record (EHR) systems provide opportunities to impro...
Incidence of Acute Kidney Injury (AKI) has increased dramatically over the past two decades due to r...
All models of evolution of human behaviour depend on the correct identification and interpretation o...
BACKGROUND: Accurately identifying cases of chronic kidney disease (CKD) from primary care data faci...
Knowledge-based planning (KBP) can be used to estimate dose-volume histograms (DVHs) of organs at ri...
The objective of the current study was to explore the role of ABCB1 and CYP3A5 genetic polymorphisms...
BACKGROUND: Magnesium (Mg) deficiency contributes to the pathophysiology of numerous diseases. The t...
Recently, more and more attention is drawn to the field of medical image synthesis across modalities...
Urinary Incontinence affects over 200 million people worldwide, severely impacting the quality of li...
PURPOSE: To develop an automatic deep feature classification (DFC) method for distinguishing benign ...
BACKGROUND: Acute kidney injury (AKI), characterized by abrupt deterioration of renal function, is a...
PURPOSE: Surgical performance is critical for clinical outcomes. We present a novel machine learning...
OBJECT: Pathologic prediction of prostate cancer can be made by predicting the patient's prostate me...
PURPOSE: Salvage high-dose-rate brachytherapy (sHDRB) is a treatment option for recurrences after pr...
PURPOSE: This article investigates dose-volume prediction improvements in a common knowledge-based p...
Parametrization of small organic molecules for classical molecular dynamics simulations is not trivi...
Colorectal cancer (CRC) is one of the most daunting diseases due to its increasing worldwide prevale...
BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) diagnosis with repor...
The aim of this report is to describe a new methodology to successfully treat stallions diagnosed wi...