Urology

Estimation of IPSS and OABSS scores using ChatGPT-4o: a comparative validation study in Korea.

PURPOSE: To evaluate the performance of ChatGPT-4o in estimating International Prostate Symptom Scor...

MRI-based patient selection for active surveillance in prostate cancer using U-Found: a generalized deep learning model.

Deformable Point Cloud Registration-Based Bidirectional Local Distance (DPCR-BLD): A Methodology for Systematic Evaluation and Visualization of Local Disagreements in Clinical Autocontouring.

PURPOSE: Variability in autosegmentation can arise from the training data, leading to disagreements ...

ASO Author Reflections: Multimodal Deep Learning Redefining Precision Prognosis in Prostate Cancer.

Gene Modification: Exploring the potential in treating kidney diseases.

Chronic kidney disease (CKD) is a leading cause of death worldwide. Currently available drugs slow b...

Using Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review.

BACKGROUND: Renal cell carcinoma (RCC) is a common, often lethal kidney cancer that originates in th...

Institution-specific pre-treatment quality assurance control and specification limits: a tool to implement a new formalism and criteria optimization using statistical process control and heuristic methods.

OBJECTIVE: Establishing control and specification limits for Volumetric Modulated Arc Therapy (VMAT)...

Artificial intelligence in bladder cancer management: a narrative review of diagnostic and surgical advances and current limitations.

INTRODUCTION: Bladder cancer (BC) is associated with high recurrence and progression rates that requ...

Generalizable Deep Learning for Prostate Cancer Risk Stratification: Multicenter Study Integrating 18F-PSMA-1007 PET/CT and mpMRI.

BACKGROUND: Prostate cancer is the second most common cancer in men, with rising mortality rates nec...

A Deep Learning Model for Dynamic Prediction of Acute Kidney Injury in Heart Failure Patientss.

BACKGROUND: This study aimed to develop and validate a dynamic prediction model for acute kidney inj...

Development of a Patient-Specific Fontan Failure Risk Calculator Using Machine Learning - A Step Towards Personalized Medicine.

OBJECTIVE: The Fontan operation is the final step in staged palliation for patients with single vent...

Active guidance in ultrasound bladder scanning using reinforcement learning.

Accurate measurement of bladder volume is essential for diagnosing urinary retention and voiding dys...

Co-occurrence patterns and related risk factors of dementia and Parkinson's disease among older adults across 204 countries and territories: a spatial correspondence and systematic analysis.

BACKGROUND: Dementia and Parkinson's disease (PD) are among the most prevalent neurological disorder...

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches.

BACKGROUND: Chronic kidney disease is a growing public health problem worldwide, and the number of p...

Medicinal chemistry meets nanotechnology: machine learning assisted colorimetric sensing platform for oxalic acid based on drug mediated copper oxide nanoparticles.

Increased levels of oxalic acid are associated with an increased risk of kidney stone formation, whi...

Genetic relationships between the gut microbiota and prostate cancer: Mendelian randomization combined with bioinformatics analysis.

BACKGROUND: Prostate cancer (PCa) is a leading cause of male cancer-related death globally. While th...

Peak strain dispersion as a nonlinear mediator in HFpEF: Unraveling subtype-specific pathways via SHAP-augmented ensemble modeling.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) represents a heterogeneous syndro...

A multi-modal approach for decision making in bladder cancer.

Bladder cancer remains a major global health challenge, characterized by diagnostic uncertainty, sub...

Artificial intelligence in metabolic dysfunction-associated steatotic liver disease: Transforming diagnosis and therapeutic approaches.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is an increasingly prevalent condit...

Assessment of Correlation Between Diabetic Retinopathy and Metabolic Biomarkers Using Artificial Intelligence.

BACKGROUND: One of the main causes of blindness in the world, diabetic retinopathy (DR) is a dangero...

Mechanism-informed machine learning for individualized tacrolimus dose adjustment in the early post-kidney transplant period.

AIM: Tacrolimus dosing in the early post-kidney transplant period is challenging due to a narrow the...