Urology

Development of a predictive marker panel for the individualised bDMARD therapy of psoriatic arthritis: protocol for a prospective observational study (Integrate-PsA).

INTRODUCTION: Psoriatic arthritis is a chronic inflammatory disease that can affect the axial skelet...

A prospective development and evaluation of a 2D convolutional neural network-based auto-segmentation model for cervical cancer radiotherapy.

BACKGROUND: Accurate delineation of target volumes and organs at risk (OAR) is essential in radiothe...

Accelerating prostate MRI: a practical review of modern acquisition strategies.

Prostate MRI has become a key tool in the detection, localization, and staging of prostate cancer, a...

Improving hard-to-place kidney allocation: A machine learning approach to center ranking.

Kidney transplantation is the preferred treatment for end-stage renal disease, yet donor scarcity an...

Rapid diagnostics innovations for urinary tract infections using molecular biology, artificial intelligence and antimicrobial resistance surveillance: a comprehensive review.

Urinary tract infections (UTIs) are among the most prevalent bacterial infections worldwide, account...

Letter to the Editor: Diagnostic assessment of artificial intelligence reconstruction on accelerated prostate MRI: a retrospective, paired, multireader multi-case study.

A deep learning-based study on automated CT diagnosis of kidney stones, hydronephrosis and pyonephrosis.

Automated identification of urinary system diseases on non-contrast computed tomography (NCCT) can f...

Artificial intelligence in urological education: a systematic review.

BACKGROUND: Artificial intelligence (AI) is currently widely applied across various fields, especial...

A semi-supervised deep learning and IoMT framework for robust prostate cancer grading under imperfect histopathology data conditions.

Deep learning has shown remarkable promise in histopathological cancer diagnostics; however, its per...

Differentiating Radiotherapy-Specific Distress From General Cancer Distress: Natural Language Processing Analysis of Patient Narratives.

BACKGROUND: Psychological distress is common among patients with cancer, and it negatively impacts t...

Association of Variability of Monthly Continuous Glucose Monitoring-Derived Metrics With Diabetic Kidney Disease in Type 1 Diabetes.

BACKGROUND: While HbA1c is the standard for monitoring long-term glycaemic control, it fails to capt...

Individualised treatment effects of corticosteroids in IgA nephropathy.

BACKGROUND: IgA nephropathy (IgAN) has diverse clinical presentations and responses to treatment. Fo...

An Interactive Virtual Nephrologist to Engage Patients With Advanced CKD About Transplantation.

RATIONALE & OBJECTIVE: Despite advantages in survival and quality of life with kidney transplantatio...

Explainable Machine-learning Model Based on Multimodal Ultrasound for Non-invasive Detection of Early Renal Fibrosis: A Multicenter Study.

RATIONALE AND OBJECTIVES: To develop and validate an interpretable, multimodal, ultrasound-based mac...

Chronic renal disease classification using the AL-5-ENeT-B4 model from CT images.

Chronic Renal Disease (CRD) is an increasing global health burden, largely driven by the rising prev...

Deep learning-based segmentation and subtype prediction of renal cell carcinoma on contrast-enhanced CT.

Accurate preoperative discrimination of renal cell carcinoma (RCC) subtypes is critical for treatmen...

A machine learning-guided epithelial plasticity score refines prognostication and immune-context stratification in muscle-invasive bladder cancer.

PURPOSE: Muscle-invasive bladder cancer (MIBC) remains biologically heterogeneous, and clinicopathol...

Urinary Metabolic Age from High-Resolution NMR Reveals Longitudinal Aging Patterns.

Biological age captures inter-individual heterogeneity in aging process arising from genetic and env...

Activated Cancer-Associated Fibroblasts Are Associated with Immunosuppression and Poor Prognosis in Clear Cell Renal Cell Carcinoma.

INTRODUCTION: Clear cell renal cell carcinoma (ccRCC) exhibits substantial heterogeneity within its ...

MAPPING THE MTOR PATHWAY IN LUNG TRANSPLANTATION: IS IT TIME FOR A BIOMARKER-DRIVEN PRECISION THERAPY?

Solid organ transplantation has revolutionized the treatment of end-stage diseases, yet long-term gr...

fAI-BRO: a multimodal AI decision-support system to address diagnostic delay in fibromyalgia syndrome.

OBJECTIVE: To evaluate the diagnostic accuracy and patient acceptability of fAI-BRO (Fibromyalgia AI...