Latest AI and machine learning research in urology for healthcare professionals.
Prostate cancer remains a major global burden; diagnostic pathways rely on prostate-specific antigen...
Radiopharmaceuticals are key tools in nuclear medicine, enabling both diagnostic imaging and targete...
OBJECTIVE: To develop and evaluate a machine learning framework that detects intravenous contrast an...
BACKGROUND: Senescence plays a critical role in prostate cancer, influencing disease onset and progr...
BACKGROUND: Glomerular hematuria (GH) is a key parameter assessed during urine analysis that is poor...
Prostate cancer (PCa) remains the second leading cause of cancer-related mortality among U.S. men, d...
BACKGROUND: Due to altered drug clearance, renal impairment necessitates drug dose adjustments to pr...
BACKGROUND: Detection of clinically significant prostate cancer (csPCa) within PI-RADS category 3 le...
INTRODUCTION: Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabe...
BACKGROUND: Stereotactic Body Radiation Therapy (SBRT) has become an established treatment for sever...
Real-world evidence (RWE), derived from real-world data, offers key insights into metabolic dysfunct...
BACKGROUND: Recent advancements in artificial intelligence (AI) hold great promise in oncology, incl...
PURPOSE: Vitamin D, a fat-soluble prohormone essential for calcium-phosphate homeostasis and bone he...
BACKGROUND: Steroid hormone profiles in affective disorders suggest hypothalamic-pituitary-adrenal (...
BACKGROUND: Diagnosis of prostate cancer in the PSA gray zone (4-10 ng/mL) and PI-RADS 3 cases remai...
BACKGROUND: Cardiovascular disease (CVD) and cancer are leading causes of mortality, often coexistin...
Accurate identification of carcinogenic hazards is essential for public health protection, yet tradi...
Prostate cancer is a prevalent and serious health concern, ranking among the most frequently diagnos...
AIMS: While cardiovascular-kidney-metabolic (CKM) syndrome has been recognised as a continuum of int...
PURPOSE OF REVIEW: To review contemporary applications, performance, and implementation challenges o...
BACKGROUND: This study aimed to develop and validate deep learning (DL) models based on multiparamet...