Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: Acute kidney injury (AKI) is a common and serious complication among hospitalized patients, and early risk stratification remains challenging due to heterogeneous clinical data and limited interpretability of existing prediction models. Foundation models designed for tabular data may enable accurate prediction while preserving interpretability, but their application in early AKI risk a...
Pheochromocytomas and paragangliomas (PPGL) are rare but potentially life-threatening neuroendocrine tumors whose diagnosis relies primarily on the biochemical detection of excessive catecholamine production or metabolism. Plasma free metanephrines and urinary fractionated metanephrines remain the cornerstone biomarkers recommended for initial screening. However, their performance is influenced by...
BACKGROUND: Accurate risk stratification of biliary complications (BCs) after liver transplantation (LT) remains challenging. This study aimed to deve...
BACKGROUND: Interpretation of urodynamic studies (UDS) is central to diagnosing lower urinary tract dysfunction, but it is often complex, time-consumi...
Accurate pathology diagnosis has remained the most essential factor in providing optimal breast cancer care across the globe. Core needle biopsies acc...
Robotic surgery has evolved from a technological adjunct into a major platform for extending the reach of minimally invasive surgery (MIS). In contras...
Robot-assisted techniques have been increasingly explored in urolithiasis, particularly in selected complex settings such as concomitant reconstructio...
Sepsis remains a formidable challenge in critical care, and is characterized by profound circulatory and cellular abnormalities driven by both systemi...
BACKGROUND: There is a recent surge in interest in the application of artificial intelligence (AI) in prostate cancer (PCa). When evaluating PSMA PET ...
Chronic kidney disease (CKD) has become a major global public health issue. Due to its insidious onset and atypical early symptoms, patients often fai...
Kidney stone disease is a significant public health threat, with its prevalence escalating due to evolving dietary habits, rising rates of obesity, ot...
Chronic kidney disease (CKD) is a complex condition where the kidneys are damaged and progressively lose their ability to filter blood, 10% of the wor...
Histopathological grading remains the cornerstone of risk stratification in prostate cancer, yet conventional Gleason-based assessment is limited by i...
OBJECTIVE: To compare tuned end-to-end and hybrid deep learning strategies for image-based classification of common oral conditions under small and im...
PURPOSE: Computational pathology has emerged as an attractive option for improving risk stratification in prostate cancer (PCa), but most approaches e...
BACKGROUND: Breast cancer is the most frequently diagnosed cancer among women. Accurate diagnosis and effective management rely heavily on high-qualit...
Patent ductus arteriosus (PDA) is a common congenital heart defect that requires timely and accurate detection to guide clinical management. Although ...
Deep learning (DL) has driven major progress in medical imaging diagnosis. However, its effectiveness is often limited by the scarcity of large annota...
Accurate field-of-view (FoV) prescription in oblique coronal and axial planes is essential for high-quality prostate MRI but remains operator-dependen...
OBJECTIVE: To develop and validate an interpretable machine learning model integrating radiomics, deep learning (DL), and clinical features based on a...