Urology

Does Hypotension Prediction Index limit the occurrence of postoperative complications associated with intraoperative hypotension? A systematic review and model-averaged Bayesian meta-analysis of statistically sound studies.

Intraoperative hypotension (IOH) is considered a potential contributing factor to postoperative comp...

Unsupervised clustering of clinical and laboratory features of systemic lupus erythematosus: insights from a multicentre cohort.

OBJECTIVE: This study explored the relationship between clinical phenotypes and immuno-molecular fea...

A drone imagery dataset for semantic segmentation of urban garden ground covers in biodiversity studies.

Urban gardens promote urban biodiversity by providing diverse ground covers that support habitat pro...

Identification of biomarkers for non-invasive diagnosis and risk stratification in prostate cancer using NMR-based metabolomics and machine learning.

The non-invasive diagnosis and risk stratification of prostate cancer (PCa) remain clinically challe...

Exploring the feasibility of inferring prostate cancer pathological grade from multiparametric MRI text reports using natural language processing: assessment of four large language models.

OBJECTIVES: This study conducted a natural language processing feasibility analysis aimed at compari...

Finding Holes: Pathologist-Level Performance Using AI for Cribriform Morphology Detection in Prostate Cancer.

BACKGROUND: Cribriform morphology in prostate cancer is a histological feature that indicates poor p...

Large-scale AI analysis reveals missed opportunities in albuminuria testing and disease-modifying therapy implementation.

BACKGROUND: Albuminuria is a key diagnostic and prognostic biomarker of chronic kidney disease (CKD)...

Re: Jethro C.C. Kwong, Zizo Al-Daqqaq, Yashan Chelliahpillai, et al. Development and International Evaluation of an Artificial Intelligence-based Model (PROGRxN-BCa) Using the World Health Organization 2004/2022 Grading System to Predict Progression Risk and Improve Substratification for Non-muscle-invasive Bladder Cancer. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2025.09.4145.

MOGANet: A Multi-omics Graph Attention Network for Cancer Diagnosis and Biomarker Identification.

Multi-omics integration holds considerable promise for advancing disease understanding and improving...

NQO1-Mediated Anoikis Resistance and Immune Evasion Define a High-Risk Multi-Omic Subtype for Precision Management of T1 High-Grade Bladder Cancer.

T1 high-grade (T1HG) bladder cancer represents an aggressive subset of non-muscle-invasive bladder c...

Significance of tumor infiltrating granulocytes and neutrophil extracellular traps in colorectal cancer.

BACKGROUND: Neutrophils are the most abundant granulocytes in the tumor microenvironment and exert b...

A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury.

Sepsis-associated acute kidney injury (SA-AKI) is a major complication in the intensive care unit (I...

The CAMUS Initiative: A Multiphase, Multicentre International Collaboration to Redefine Risk Stratification, Reporting, and Grading of Surgical Complications in Urology.

Surgical complications remain a major source of preventable morbidity, mortality, and health care ex...

Cost-effectiveness analysis of resective epilepsy surgery in drug-resistant patients: an artificial intelligence data modeling.

BACKGROUND: Resective epilepsy surgery has been proven to reduce the number of seizures and improve ...

Community-based early-stage chronic kidney disease screening using explainable machine learning for low-resource settings.

BACKGROUND: Early detection of chronic kidney disease (CKD) is essential for preventing progression ...

Computer-aided discovery of CDK16 inhibitors: a docking-augmented machine learning regression modelling approach.

Cyclin-dependent kinase 16 (CDK16), a serine/threonine protein kinase, is a critical regulator of ce...

Deep Learning-based Segmentation for Assessment of Kidney Tumour Ablation Therapy in CT Images.

Kidney tumor ablation is a minimally invasive treatment for Renal Cell Carcinoma (RCC). Manual segme...

Performance of an image-only deep learning breast cancer risk model with the addition of a polygenic risk score.

BACKGROUND: Mammograms contain imaging biomarkers that can predict future breast cancer risk using d...

The diagnostic performance of machine learning based detection of urinary tract stones: a systematic review and meta-analysis.

BACKGROUND: Urolithiasis is a prevalent urological condition, and Non-Contrast Computed Tomography (...

Development and validation of a nomogram for predicting advanced chronic kidney disease.

The objective of this study was to develop and validate a nomogram for predicting advanced chronic k...

Association Between Environmental Chemicals Phthalates and Stroke Among the US Adults: A Cross-Sectional Study.

Stroke has a multifactorial etiology, and phthalates, as widely used environmental chemicals, may pl...