Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: Given the rapid increase in the prevalence of prostate cancer (PCa), identifying its ris...
BACKGROUND: Muscle-invasive bladder cancer (MIBC) is a prevalent cancer characterized by molecular a...
Koopmans spectral functionals are a powerful extension of Kohn-Sham density-functional theory (DFT) ...
OBJECTIVES: This study aims to evaluate a deep learning pipeline for detecting clinically significan...
INTRODUCTION: Posterior Urethral Valves (PUV) are rare congenital anomalies of the male urinary trac...
BACKGROUND: Acute kidney injury (AKI) is common in patients with community-acquired pneumonia (CAP) ...
BACKGROUND: The purpose of the study was to evaluate the relationship between prediction errors (PEs...
INTRODUCTION: Hypoxia-inducible factors (HIF) regulate gene transcription, which aids hypoxia adapta...
PURPOSE: Nitrofurantoin (NITRO), a long-standing antibiotic to treat urinary tract infections, is ac...
OBJECTIVE: To construct a predictive model using deep-learning radiomics and clinical risk factors f...
This study examined the characteristics of the broad model (KBP) through a complete open-loop evalua...
BACKGROUND: Chronic Kidney Disease (CKD) is a common severe complication after radical nephrectomy i...
PURPOSE: Balancing surgical margins and functional outcomes is crucial during radical prostatectomy ...
BACKGROUND: Continuous renal replacement therapy (CRRT) is the favored renal replacement therapy in ...
BACKGROUND: Several studies indicate that smoking is one of the major risk factors for bladder cance...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is common in patients with obesity ...
RATIONALE AND OBJECTIVES: To develop an interpretable deep learning (XDL) model based on superb micr...
BACKGROUND: Gas chromatography-mass spectrometry (GC-MS) has been shown to be a potentially efficien...
BACKGROUND: Acute kidney injury (AKI) requiring continuous renal replacement therapy is common in cr...
PURPOSE: The estimated glomerular filtration rate (eGFR) has historically been calculated with a rac...
BACKGROUND: Prediction models based on machine learning (ML) methods are being increasingly develope...