Urology

Exosomes in diabetic kidney disease: pathogenesis, biomarker discovery, and emerging therapeutics-a comprehensive systematic review.

Diabetic kidney disease (DKD), characterized by progressive renal dysfunction, is a prevalent microv...

High confidence Raman spectroscopy of tumor biomarker proteins through experimental and theoretical cross-validation.

Cancer represents a significant challenge to people's health and safety. Tumor biomarker detection p...

AI-based modeling of treatment decisions in benign prostatic hyperplasia: a transformer-based comparative study.

Benign Prostatic Hyperplasia (BPH) is a common condition among aging men that often causes significa...

Protective Effects of Riociguat Against Contrast-Induced Nephropathy: An Experimental and Machine Learning-Based Study in Rats.

Contrast-induced nephropathy (CIN) is an important cause of acute kidney injury following exposure t...

Artificial Intelligence-Driven Electrocardiogram Screening for Asymptomatic Left Ventricular Systolic Dysfunction in the General Population.

BACKGROUND: Asymptomatic left ventricular systolic dysfunction (LVSD) is a well-established precurso...

Development and Validation of a Machine Learning-Based Nomogram for Predicting Severe Pneumocystis jirovecii Pneumonia in Kidney Transplant Recipients.

BACKGROUND Pneumocystis jirovecii pneumonia (PJP) is a life-threatening opportunistic infection in k...

Development and validation of machine learning prognostic models for overall survival in non-surgical prostate cancer patients with bone metastases.

OBJECTIVE: To construct and interpret a machine learning model for predicting overall survival in no...

ProSeg: multi-scale context fusion for high-precision prostate segmentation in MRI.

Prostate MRI segmentation is critical for accurate diagnosis and treatment planning but remains chal...

The Effect of ChatGPT-Assisted Medication Dosage Calculation Training on Accuracy, Time, and Learning Satisfaction Among Nursing Students: A Quasi-Experimental Study.

Medication dosage calculation is a vital clinical skill essential for patient safety. However, many ...

CT acquisition protocols in lung cancer screening: implications for guideline development from a worldwide survey.

OBJECTIVES: To assess the currently applied CT image acquisition protocols in lung cancer screening ...

Machine Learning Prediction of Progression to Dialysis in Patients With Polycystic Kidney Disease: Population-Based Retrospective Cohort Study.

BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD), characterized by progressive cyst ...

Assessing interstitial fibrosis and tubular atrophy in kidney biopsies artificial intelligence versus humans.

PURPOSE OF REVIEW: The degree to which computerized methods, such as artificial intelligence (AI), w...

Bioinspired hybrid optimisation and deep belief neural networks for early chronic kidney disease detection: an explainable clinical AI framework.

The early detection of chronic kidney disease (CKD) can lead to timely and appropriate clinical inte...

Transformer-based prediction of radiotherapy couch shift risk in prostate cancer based on rectal volume.

Study of bladder cancer detection in standard white light versus AI-supported endoscopy-01 (RAISE-01) - Development and validation of an AI-based support tool.

BACKGROUND: Diagnosis and surveillance of bladder cancer rely on white-light cystoscopy (WLC). Howev...

PETWB-REP: A Multi-Cancer Whole-Body FDG PET/CT Dataset with Corresponding Radiology Reports.

Publicly available, large-scale medical imaging datasets are crucial for developing and validating a...

Prostate MRI quality improvement: a Roadmap from the ESUR Prostate MRI Working Group.

Prostate magnetic resonance imaging (MRI) has become a crucial tool in diagnosing and managing prost...

Refining prognostication in non-muscle-invasive bladder cancer: From clinical models to artificial intelligence.

Over the past 2 decades, risk stratification in non-muscle-invasive bladder cancer (NMIBC) has evolv...

Systematic evaluation of single-cell multimodal data integration enhances cell type resolution and discovery of clinically relevant states in complex tissues.

BACKGROUND: The integration of multimodal single-cell data enables comprehensive organ reference atl...

Robotic credentialing and simulation-based training: An institutional perspective.

INTRODUCTION: Simulation-based training has emerged as a critical tool in the acquisition of robotic...

Comparison between artificial intelligence-based and manual organ delineations in pretreatment computed tomography scans of prostate cancer patients: a visual grading study.

This study aimed to evaluate the clinical acceptability of artificial intelligence (AI)-based organ ...