Latest AI and machine learning research in urology for healthcare professionals.
OBJECTIVES: To estimate patient-level diagnostic accuracy of deep learning (DL) for MRI-based detect...
BACKGROUND: Longitudinal serum uric acid (SUA) transition patterns and their clinical, genetic, and ...
BACKGROUND AND OBJECTIVES: Acute kidney injury (AKI) is a common and clinically important complicati...
AIM: The traditional three-level H&E sectioning protocol for prostate biopsies was developed for ult...
Xanthine oxidase (XO) confirms as a critical target for the treatment of hyperuricemia (HUA). Curren...
BACKGROUND: Diabetic nephropathy (DN) poses a growing worldwide health challenge as a leading cause ...
The diagnosis of prostate cancer rests on the histopathological evaluation of prostate needle core b...
INTRODUCTION: Small renal masses are increasingly detected on imaging, but their accurate classifica...
BACKGROUND: Early diagnosis of knee osteoarthritis (KOA) is often delayed due to reliance on subject...
Chronic kidney disease affects 788-844 million adults worldwide and is projected to become the fifth...
Coronary microvascular dysfunction (CMD) causes myocardial ischemia and is associated with adverse c...
INTRODUCTION: The survival rate of patients with life-threatening diseases primarily depends on the ...
BACKGROUND: The role of cytoreductive nephrectomy (CN) in metastatic papillary renal cell carcinoma ...
Solid-state NMR spectroscopy, when combined with first-principles density functional theory (DFT) ca...
BACKGROUND: End-stage renal disease (ESRD) is a severe chronic renal disorder with high mortality, r...
This review explores the application and limitations of ultrasound elastography (USE) in the pediatr...
Non-muscle invasive bladder cancer (NMIBC) comprises ~ 75% of newly diagnosed bladder cancer, with h...
Machine learning (ML) offers opportunities to improve prognostication after ST-segment elevation myo...
BACKGROUND: Phenolic endocrine-disrupting chemicals (EDCs) like nonylphenol (NP) and octylphenol (OP...
Evidence-based dietary strategies for mitigating Cardiovascular-kidney-metabolic (CKM) syndrome prog...
PURPOSE: To predict the risk of diabetic macular edema (DME) onset and to identify features of the r...