Urology

Artificial intelligence in prostate cancer care from performance to clinical integration.

Construction and validation of a machine learning model for predicting urine culture positivity in children with suspected urinary tract infections.

BACKGROUND: Urinary tract infections (UTIs) are common in pediatrics. This study aimed to develop an...

Obesity in CKD: The Double-Edged Sword.

Obesity and chronic kidney disease (CKD) are converging global epidemics with a complex, bidirection...

Sex-Specific Digital Phenotyping of Lower Urinary Tract Symptoms: A Cross-Sectional Study of 1586 Adults From 35 Centers in China.

BACKGROUND AND PURPOSE: Lower urinary tract symptoms (LUTS) represent a complex clinical syndrome wi...

Phantom-based synthetic renal PCASL data generation for overcoming data scarcity and enhancing deep learning-based segmentation.

OBJECTIVES: We hypothesize that a 2D CycleGAN framework can generate anatomically realistic syntheti...

Determination of central pain modulation biomarkers to characterise patients with cancer and refractory pain: protocol for a cross-sectional study.

INTRODUCTION: Pain is one of the most prevalent and disabling oncological symptoms, but its underlyi...

Integrated Traditional Chinese and Western Medicine for Immunoglobulin A Nephropathy: Recent Advances and Future Directions.

IgAN is the most common primary glomerular disease worldwide. It is characterized by high heterogene...

Critical appraisal of artificial intelligence studies for prostate cancer detection on MRI.

The application of artificial intelligence (AI) to prostate MRI for clinically significant prostate ...

Feasibility of Deep Learning Segmentation in Anterior Quadratus Lumborum Ultrasound Imaging: Challenges in Identifying the Injection Plane.

Accurate identification of sonoanatomy is essential for successful anterior quadratus lumborum (QL) ...

Recent advances in discriminating prostate cancer from benign prostatic diseases in the pre-biopsy population.

Prostate cancer (PCa) remains one of the most prevalent malignancies and a major cause of cancer-rel...

Risk factors and machine learning-based prediction of difficult ureter during retrograde ureteroscopic lithotripsy.

OBJECTIVE: Difficult ureter (DU) is a challenging condition that prevents successful access to the u...

Rapid and home-testable integrated colorimetric sensor for nitrite detection in urine.

A portable, rapid and convenient intelligent detection platform for nitrite is proposed based on a p...

Machine learning predicts major adverse kidney and cardiovascular events in heart failure with reduced ejection fraction.

BACKGROUND: Heart failure with reduced ejection fraction (HFrEF) links to adverse kidney and cardiov...

A machine learning-derived aging index for risk stratification and mortality prediction in cardiovascular-kidney-metabolic syndrome: A retrospective cohort study.

BACKGROUND: The cardiovascular‑kidney‑metabolic (CKM) syndrome shows substantial heterogeneity in pr...

Integrated bioinformatics analysis uncovers TNFSF10 as a key panoptosis-related gene in diabetic tubular injury.

Diabetic kidney disease (DKD) is a major cause of chronic kidney diseases. Panoptosis has emerged as...

High discrimination does not ensure clinical transportability: methodological considerations in machine learning prediction of urinary tract infection after kidney transplantation.

Explainable Machine Learning-Based Prediction of Progression-Free Survival in Prostate Cancer: Retrospective Cohort Study.

BACKGROUND: Progression-free survival (PFS) is a critical end point in oncology, yet real-world appl...

Dual-Foundation-Model Ensemble Predicts Gene Expression in Muscle-Invasive Bladder Cancer for Patient Outcome Stratification.

Muscle-invasive bladder cancer (MIBC) exhibits significant heterogeneity in clinical outcomes and tr...

Innovative holistic treatment for CKM: what lies ahead?

Cardiovascular-kidney-metabolic (CKM) syndrome, as defined by the American Heart Association, encomp...

Practical deep learning solutions for prostate cancer segmentation and implementation in radiotherapy planning.

Accurate segmentation of the prostate and surrounding structures is crucial in radiotherapy planning...

Comparative Performance of Large Language Models in Urodynamic Trace Interpretation Using an Adapted Expert-Led Evaluation of Generative AI Competence and Excellence Framework.

OBJECTIVES: Interpretation of urodynamic studies is complex and subject to substantial inter-observe...