Urology

Evaluating an AI-driven Triaging Workflow for MRI-based Clinically Significant Prostate Cancer Diagnosis: A Simulation Study.

Purpose To simulate an artificial intelligence (AI)-driven triaging workflow in which an AI system, ...

Investigation of the Accuracy and Contributing Factors of AI-Based Diagnosis of Urothelial Carcinoma in Canine Abdominal Radiography.

Urothelial carcinoma (UC) is a highly malignant urinary cancer of the transitional epithelium in dog...

Classifying Kidney Tumor via Adaptive SE-ResNeXt With Mutli-Novel Loss Function and Renal Mass Segmentation Using Pyramidal Attention-Based R2Unet++ Model.

Kidney tumors are one of the prevalent types of tumor globally and it has become a significant healt...

Combined Effects of Long-Term Sulfur Dioxide Exposure and Environmental Heat Stress on the Risk of Kidney Stone Disease.

OBJECTIVES: Kidney stone disease is influenced by environmental, metabolic, and climatic factors. Al...

CT-based body composition and its change through time in relation to outcomes in participants screened for lung cancer.

BACKGROUND: Computed Tomography (CT) scans allow opportunistic evaluation of body composition. We in...

Multi-scale evidence chain: Linking environmental BPA exposure to ovarian cancer through integrated omics and experimental models.

BACKGROUND: Ovarian cancer (OC) is a leading cause of female cancer mortality. Beyond genetic and re...

Global trends and hotspots of machine learning in the diagnosis of prostate cancer: a bibliometric analysis from 1997 to 2024.

PURPOSE: Prostate cancer (PCa) diagnosis has advanced with the integration of machine learning (ML)....

Artificial intelligence and radiologists in prostate MRI: Competitors or collaborators?

Multi-Omics and Machine Learning-Uncovered FLT1-Mediated Epithelial-Endothelial Crosstalk in Cellular Senescence Driving Clear Cell Renal Cell Carcinoma Malignancy.

Clear cell renal cell carcinoma (ccRCC) is distinguished by the absence of definitive diagnostic mar...

In-hospital electronic monitoring system approaches to epidemiologic investigation and predictive modeling of contrast-induced acute kidney injury.

Contrast-induced acute kidney injury (CI-AKI), the third most common cause of hospital-acquired kidn...

ProMA-Net: MR-TRUS prostate registration via a dual-stream Swin Transformer-based network with mixed attention.

Multimodal registration between magnetic resonance (MR) and transrectal ultrasound (TRUS) prostate i...

Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging.

Ultrasound microvascular imaging (UMI) has emerged as a powerful, noninvasive modality for visualizi...

Genetically engineered human cell-based microrobots for selective cancer cell death.

Medical microrobots have strong potential for targeted therapeutic delivery; however, current system...

Retinal imaging and supervised learning predict hospitalizations, kidney, and heart-lung damage in sickle cell disease.

Sickle cell disease (SCD) is a single-gene illness which causes painful vaso-occlusion, debilitating...

Editorial: future of ureteral stents: what do we need? a pearls opinion.

Ureteral stents, introduced in 1960s, are essential for managing upper urinary tract pathologies, ma...

Rapid Noninvasive Classification of Prostatic Disease Using Paper Spray Ionization Mass Spectrometry (PSI-MS)-Based Nontargeted Metabolomics.

Paper spray ionization mass spectrometry (PSI-MS)-based nontargeted metabolomics was employed to rap...

A pilot study on the impact of large language model assistance on the evaluation of complex medical living kidney donor candidates.

BACKGROUND: Large language models (LLMs) are undergoing exploration as clinical decision support too...

Digital twins in urological oncology and surgery: A review of emerging applications.

BACKGROUND: Digital twin technology represents a transformative approach in healthcare, creating vir...

Genetic Predictors of Progression and Skin Rash in Japanese mCSPC Patients Treated With Apalutamide: CUARTET Study.

Despite promising evidence of the efficacy of the androgen deprivation therapy (ADT) plus apalutamid...

Quantifying the Heterogeneity of TRUS-Visible Lesions for Predicting Prostate Cancer: A Multicenter Preliminary Study.

RATIONALE AND OBJECTIVES: This study aimed to quantitatively characterize the heterogeneity of Trans...

AI-driven Predictive Models in Endourological Treatment of Urolithiasis: A Systematic Review of Nomogram Applications from EAU Endourology.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in endourology to enhance surgical ...