Urology

Deep Learning for Ultrasound-Guided Prostate Biopsy: Toward Automated Targeting and Complication Prediction.

A preoperative Artificial Intelligence model to estimate cancer-specific mortality in nonmetastatic kidney cancer patients.

Surgical resection is the standard treatment for nonmetastatic renal cell carcinoma, yet survival ou...

Advances in evaluating and delivering nontechnical skills training: The use of simulation, robotics, artificial intelligence and virtual reality.

PURPOSE OF REVIEW: Nontechnical skills (NTS), such as communication, leadership, and situational awa...

Leveraging Natural Language Processing to Evaluate the Evolution of Subcapsular Renal Hematomas: Report of a 10-Year Retrospective Multi-Institution Study.

PURPOSE: To characterize the etiology and clinical course of patients with subcapsular renal hematom...

Augmenting clinical decision-making with large language models: evaluation across general and specialty tasks.

OBJECTIVE: Large language models (LLMs) have shown promise in clinical applications, yet prior studi...

Multimodal Machine Learning Integrating Clinical and Proteomic Data for Early Prediction of Hypertensive Complications: A UKB Longitudinal Study.

BACKGROUND: Hypertension is a leading risk factor for cardiovascular, cerebrovascular, and renal dis...

Computed Tomography-Derived visceral fat area is associated with increased risk of kidney stone recurrence.

Visceral adiposity has been implicated in metabolic dysregulation and chronic inflammation, both of ...

Machine learning-based identification of basement membrane-related signature to predict recurrence and immunotherapy benefit in bladder cancer.

The basement membrane (BM) plays a critical role in regulating bladder cancer (BC) progression. Howe...

Multi-omics body-fluid biomarkers in immunoglobulin a nephropathy: Analytical Validation, standardization, and clinical chemistry translation of diagnostic and prognostic Analytes.

IgA nephropathy (IgAN) is the most prevalent primary glomerulonephritis worldwide. Although optimize...

Network-informed multi-trait genomic analysis decodes the shared genetic architecture and therapeutic landscape of pelvic floor disorders.

Pelvic floor disorders, including pelvic organ prolapse and urinary incontinence, represent a common...

Longitudinal validation of ENLIGHT, an AI predictor of immunotherapy response and resistance, in pan-cancer cohorts.

Artificial intelligence (AI) algorithms such as ENLIGHT and DeepPT represent promising approaches to...

Benchmarking Large Language Models for Bladder Cancer: Comparative Knowledge Retrieval and Clinical Reasoning of DeepSeek and ChatGPT.

BACKGROUND: This study evaluates the comparative performance of DeepSeek-R1, ChatGPT-5 Pro, and urol...

Application Value of Radiomics-Based Machine Learning for Preoperative Risk Stratification of Bladder Cancer: Systematic Review and Meta-Analysis.

BACKGROUND: Some researchers have explored the application of radiomics-based machine learning to de...

Toward Interpretable Machine Learning Models for Grading Prostate Cancer: A Multicenter Development and Validation Study.

OBJECTIVE: To develop and validate an interpretable machine learning model for distinguishing prosta...

MRI-based deep learning combined with radiomics for the preoperative prediction of lymphovascular invasion in patients with bladder cancer.

BACKGROUND: Lymphovascular invasion (LVI) signifies poor prognosis in bladder cancer, yet reliable p...

Comprehensive molecular analyses of a circadian rhythm-related gene diagnostic model and immune infiltration using machine learning methods in sepsis-associated acute kidney injury.

BACKGROUND: This study aimed to explore hub circadian rhythm-related genes (CRRGs) associated with s...

Machine learning models to predict the recurrence of common bile duct stones after ERCP.

OBJECTIVE: To construct predictive models for the recurrence of common bile duct stones (CBDS) follo...

Deep learning applications in cancer treatment Prediction: Comprehensive research foundation for systematic review and Meta-Analysis.

Deep learning has rapidly emerged as a transformative technology in oncology, offering new capabilit...

Regulating Innovation: Why the European Union Artificial Intelligence Act Matters for Urologists-Recommendations from the EAU AI Working Group.

The key challenge for artificial intelligence (AI) in urology is no longer technical development alo...

Computational pathology model to predict recurrence-free survival in NMPUC patients on BCG-therapy.

Urothelial carcinoma, predominantly appearing as non-muscle-invasive papillary urothelial carcinoma ...

A lightweight ResNet50V2-ECA model for renal cell carcinoma grading: efficiency, calibration, and state-of-the-art performance.

Accurate International Society of Urological Pathology (ISUP)-grade classification of renal cell car...