Urology

An evidence-based nursing management app prototype for adult urology day surgery: an AI-driven development pathway.

OBJECTIVES: The nursing management of adult urology patients in day surgical settings has undergone ...

Dynamic Bayesian networks to predict loss of kidney function: a cross-institution use case in a large cohort with or at-risk of CKD.

BACKGROUND: Substantial loss of kidney function, measured as ≥40% decline in estimated glomerular fi...

Research on biomarkers screening for urinary tract infection and the prediction model based on machine learning algorithms.

BACKGROUND: Urinary tract infections (UTIs) affect over 1.5 billion people annually, yet systematic ...

Relationship between the diagnostic probability of chronic kidney disease calculated using artificial intelligence-enhanced electrocardiography and the incidence of cardiovascular events.

AIMS: A low estimated glomerular filtration rate (eGFR) is the primary diagnostic criterion for chro...

Deep Learning Analysis of Indocyanine Green Fluoroscopy of Ureters in Robotic Cystectomy: Toward Reducing Ureteroenteric Strictures.

OBJECTIVES: To develop a deep learning method to quantify ureter perfusion during indocyanine green ...

Accuracy and precision of automated kidney stone detection on CT.

BACKGROUND: While computed tomography (CT) is the preferred imaging modality for kidney stone detect...

Cytokine-induced killer (CIK) Cells-associated transcriptome signature reveals the potential immunomodulatory role of TNFSF14 in clear cell renal cell carcinoma.

Among adoptive immune cell therapies, cytokine-induced killer cell (CIK) therapy has demonstrated cl...

Interpretable machine learning models for bladder cancer overall survival prediction development and external validation via SEER database and Chinese cohort analysis.

OBJECTIVE: We developed interpretable machine learning(ML) models to predict overall survival in bla...

Development of an integrated multidimensional nomogram for predicting stone-free status after retrograde intrarenal surgery: a machine learning-based approach.

BACKGROUND: This study aimed to develop and validate a novel preoperative nomogram to predict stone-...

Artificial Intelligence Remote Patient Monitoring for Predicting Overall Survival for Patients Undergoing Radical Cystectomy for Bladder Cancer: Exploratory Analysis of the Prospective Trial.

BACKGROUND: Previous studies have highlighted the benefits of using artificial intelligence-powered ...

Postangiography Prediction of Renal Replacement Therapy in Acute Myocardial Infarction-Related Cardiogenic Shock: Least Absolute Shrinkage and Selection Operator Nomogram Development and Validation.

BACKGROUND: Acute kidney injury critically impacts outcomes in cardiogenic shock secondary to acute ...

Explainable AI in Cancer Imaging: Scoping Review of Methods, Modalities, and Clinical Integration.

BACKGROUND: Explainable artificial intelligence (xAI) is increasingly used in medical imaging to enh...

RADIANT: A fully configurable radiotherapy dose prediction framework.

Treatment planning is a multi-disciplinary effort that requires medical decision-making, specialized...

Attention-Based Point Cloud Completion for CT-Equivalent Kidney Volumetry from Tracked Freehand Ultrasound.

Kidney volume measurement is critical for managing polycystic kidney disease and monitoring transpla...

Machine learning-based risk prediction model for postoperative acute kidney injury in surgical patients with chronic kidney disease (CKD): development, validation, and SHAP-based explainability.

This study aimed to develop machine learning models to predict postoperative acute kidney injury (AK...

PneumoMLPred: Innovating Pneumonia Management with Guideline Adherence Review and Explainable Machine Learning-based Mortality Prediction - A single-centre retrospective study.

INTRODUCTION: Community-acquired pneumonia (CAP) is one of the leading causes of death globally. Cha...

Novel biomarkers driving treatment selection in metastatic castration-sensitive prostate cancer: fundamentals of personalized clinical decision making.

INTRODUCTION: Prostate cancer is well known to be androgen-dependent, with growth directly relying o...

[Artificial intelligence in daily urological care: results of the AI barometer].

BACKGROUND: Urological care in Germany is undergoing transformation, while novel technologies with a...

Reply to the Letter to the Editor: Artificial intelligence for prostate MRI screening-methodological considerations regarding reference standards and reader design.

Letter to the Editor: Artificial intelligence for prostate MRI screening-methodological considerations regarding reference standards and reader design.

Urinary copper is linked to regional cortical volume reductions in adolescents with major depressive disorder.

Major depressive disorder (MDD) is highly prevalent among adolescents, but its neurobiological mecha...