Urology

Global Co-Occurrence Patterns of Ischemic Heart Disease and Metabolic Dysfunction-Associated Steatotic Liver Disease: Spatial Clusters, Risk Factors, and Quality-of-Care Index.

BACKGROUND: Ischemic heart disease and metabolic dysfunction-associated steatotic liver disease repr...

Urine-Based Noninvasive Detection of Prostate Cancer Using Human Olfactory Receptor-Embedded Nanodiscs.

The diagnosis of prostate cancer (PCa) is limited by the low specificity of prostate-specific antige...

Predicting Pediatric Urological Surgery Duration Through Multimodal Patient-Physician Feature Fusion: Deep Learning Framework Incorporating Clinical Text Embedding.

BACKGROUND: Accurate prediction of surgical duration is critical for optimizing operating room sched...

Correction: Clinically significant prostate cancer detection with deep learning in a multi-center magnetic resonance imaging study.

Response to Letter to the Editor re: "Predicting non-response to urotherapy in pediatric bowel and bladder dysfunction: A machine learning approach".

Letter to the Editor re: "Predicting non-response to urotherapy in pediatric bowel and bladder dysfunction: A machine learning approach".

Future Directions: Artificial Intelligence and Digital Tools in Bladder Cancer Care.

This comprehensive review examines using artificial intelligence (AI) across the diagnostic, therape...

Concordance Analysis Between KDIGO Definition of Acute Kidney Injury and Its Coding in Clinical Practice.

RATIONALE & OBJECTIVE: Acute kidney injury (AKI) in research is typically identified using KDIGO cri...

Anoctamin 5 as a protective factor in prostate cancer: Insights from WGCNA, machine learning, and experimental analysis, with a focus on the anoctamin family.

OBJECTIVES: Prostate cancer (PCa) is a prevalent malignancy in males, triggered by multiple factors....

Predicting Bladder Cancer Prognosis by Integrating Multiple Omics Data through an Adversarial Autoencoder-based Cox proportional hazards Network.

Bladder cancer prognosis is a critical factor in determining optimal treatment strategies. However, ...

Emerging multidimensional biomarker system for cardiovascular-kidney-metabolic syndrome: from multi-omics integration to clinical artificial intelligence.

Cardiovascular-kidney-metabolic (CKM) syndrome is an emerging clinical entity that highlights the co...

Deep learning-based Wilms tumor segmentation to create 3D models for surgical planning: Implementation in the clinical workflow.

BACKGROUND AND AIM: Creating 3D models based on pre-operative MRI of patients with a Wilms tumor (WT...

An explainable clinical-radiomics machine learning model for preoperative prediction of WHO/ISUP nuclear grade in clear cell renal cell carcinoma.

BACKGROUND: Accurate preoperative assessment of the WHO/ISUP nuclear grade of clear cell renal cell ...

Combined radiomics, PI-RADS, and clinical model improve significant prostate cancer prediction and guide biopsy decision.

OBJECTIVES: The aim of this study was to develop and validate an MRI radiomics-based predictive mode...

Urinary Metabolomics and One-Class Classification To Discover Children Affected by Bile Acid Synthetic Disorders: A Case-Study.

Bile acid synthetic disorders (BASDs) are a group of rare metabolic disorders that involve the synth...

MMP9 in macrophages: A pivotal biomarker associated with immune dysregulation in interstitial cystitis/bladder pain syndrome.

BACKGROUND: Studies suggest that immune abnormalities play a significant role in the pathophysiology...

Deep learning-based renal artery segmentation and angle estimation for registration of endoscopic images and 3D models in robot-assisted partial nephrectomy.

PURPOSE: Image-guided robot-assisted partial nephrectomy (RAPN) that incorporates three-dimensional ...

Multidimensional transcriptomic analysis and in vitro experiments dissect the landscape of 2',2',4',4'-Tetrabromodiphenyl ether in bladder cancer progression.

2',2',4',4'-Tetrabromodiphenyl ether (BDE-47), the most widespread congener of polybrominated diphen...

Artificial Intelligence in Patient Education: ChatGPT for Penile Prosthesis Surgery Counseling, a Likert Scale Analysis.

INTRODUCTION: Erectile dysfunction (ED) significantly impacts quality of life. For patients unrespon...

Multi-model study of fast VMAT segment dose calculation with deep learning.

OBJECTIVE: Deep learning (DL) methods enable photon dose calculation under two main coordinate repre...

FedSemiDG: Domain generalized federated semi-supervised medical image segmentation.

Medical image segmentation is challenging due to the diversity of medical images and the lack of lab...