Urology

Cardiovascular Indexes and Oxidative Balance in Advanced Cardiovascular-Kidney-Metabolic Syndrome.

OBJECTIVE: The cardiovascular-kidney-metabolic (CKM) syndrome lacks clear strategies for risk reduct...

[Digital health: a green future for healthcare?].

The healthcare sector is doubly affected by the climate crisis. On the one hand, the number of disea...

Commentary on "Portable Ultrasound Bladder Volume Measurement Over Entire Volume Range Using a Deep Learning Artificial Intelligence Model in a Selected Cohort: A Proof of Principle Study".

[Digital urology : Possible uses for artificial intelligence and digital health applications].

BACKGROUND: Urology presents itself as a modern and future-oriented discipline. Artificial intellige...

Impact of three-dimensional prostate models during robot-assisted radical prostatectomy on surgical margins and functional outcomes.

BACKGROUND: Robot-assisted radical prostatectomy (RARP) is the standard surgical procedure for the t...

Identification and validation of epithelial‑mesenchymal transition‑related genes for diabetic nephropathy by WGCNA and machine learning.

Diabetic nephropathy (DN) is the main cause of end‑stage renal disease, with epithelial‑mesenchymal ...

Prediction model for postoperative urinary retention in patients undergoing totally extraperitoneal groin hernia repair.

BACKGROUND: Postoperative urinary retention remains a common complication after totally extraperiton...

Utilizing Predictive Analytics to Understand Neurogenic Bladder Symptom Score (NBSS) Variations in Adults With Acquired Spinal Cord Injury.

INTRODUCTION: Individuals with spinal cord injury (SCI) have varying bladder health trajectories aft...

An integrated approach for key gene selection and cancer phenotype classification: Improving diagnosis and prediction.

The identification of key features and reliable phenotype classification remains pivotal in cancer r...

Identification of inflammation-related biomarkers and therapeutic targets for neurogenic bladder fibrosis via multi-omics analysis.

Inflammatory responses play a crucial role in the progression of pediatric neurogenic bladder (NB)-a...

Assessing the effect of perfluoroalkyl and polyfluoroalkyl substances on cardiovascular-kidney-metabolic syndrome: Insights from an interpretable machine learning model.

Cardiovascular-kidney-metabolic syndrome (CKM) and its association with exposure to emerging polluta...

Multi-modal models using fMRI, urine and serum biomarkers for classification and risk prognosis in diabetic kidney disease.

BACKGROUND: Functional magnetic resonance imaging (fMRI) is a powerful tool for non-invasive evaluat...

A Multimodal Predictive Model for Chronic Kidney Disease and Its Association With Vascular Complications in Patients With Type 2 Diabetes: Model Development and Validation Study in South Korea and the U.K.

OBJECTIVE: To develop a multimodal model to predict chronic kidney disease (CKD) in patients with ty...

A new method for internal urinary metabolite exposure and dietary exposure association assessment of 3-MCPD and glycidol and their esters based on machine learning.

3-Monochloropropane-1,2-diol (3-MCPD) and glycidol along with their esters are commonly found in che...

MRI Radiomics and Automated Habitat Analysis Enhance Machine Learning Prediction of Bone Metastasis and High-Grade Gleason Scores in Prostate Cancer.

RATIONALE AND OBJECTIVES: To explore the value of machine learning models based on MRI radiomics and...

Study of AI algorithms on mpMRI and PHI for the diagnosis of clinically significant prostate cancer.

OBJECTIVE: To study the feasibility of multiple factors in improving the diagnostic accuracy of clin...

Estimation of postmortem interval under different ambient temperatures based on multi-organ metabolomics and machine learning algorithm.

In forensic practice, the estimation of postmortem interval has been a persistent challenge. Recentl...

Assessing the quality of Japanese online breast cancer treatment information using large language models: a comparison of ChatGPT, Claude, and expert evaluations.

BACKGROUND: The internet is a primary source of health information for breast cancer patients, but o...

Generating a vast chemical space for high polar surface area triphenylamine polymers by machine learning-DFT calculations assisted reverse engineering for photovoltaics.

The total polar surface area (TPSA) is a crucial parameter in photovoltaic (PV) materials, as it dir...

Federated Learning for Renal Tumor Segmentation and Classification on Multi-Center MRI Dataset.

BACKGROUND: Deep learning (DL) models for accurate renal tumor characterization may benefit from mul...

Comparison of 11 Intraocular Lens Power Calculation Formulas in Eyes Undergoing Simultaneous Cataract Surgery and Descemet Membrane Endothelial Keratoplasty.

PURPOSE: To evaluate the accuracy of 11 intraocular lens (IOL) calculation formulas in eyes undergoi...