Urology

Quantitative measurement of stag beetle behaviors in low light and complex background conditions using DAMM (detect any mouse model).

Aggressive behavior in insects plays a crucial role in various ecological and evolutionary processes, influencing resource acquisition, mate competition, and social organization. Stag beetles (Lucanidae) represent a compelling model system for studying aggression, particularly male-male combat. However, studying their interactions in a contest test with low light-a common condition for nocturnal s...

Supervised machine learning models for predicting sepsis-associated acute kidney injury in children: a real-world evaluation.

BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) substantially increases mortality. The recent Phoenix criteria have redefined pediatric sepsis, yet AKI risk factors under this framework remain unclear. This study aimed to develop a machine learning (ML) model to identify key predictors of AKI in pediatric patients with sepsis as defined by the Phoenix criteria. METHODS: This retrospectiv...

Prediction Model for Delirium in Patients with Sepsis-Associated Liver Injury: An Interpretable Machine Learning Approach.

BackgroundPatients with sepsis-associated liver injury (SALI) are at marked risk of delirium, a severe complication strongly linked with poor neurolog...

Comparative study on the efficacy of large language models (LLMs) in health management for patients with urological and andrological diseases: a multidimensional quality evaluation and applicability analysis.

PURPOSE: This study aims to evaluate the efficacy of large language models (LLMs) in health management for urological and andrological conditions by c...

Use of Artificial Intelligence in prostate MRI: A rapid scoping review highlighting limited evidence in screening context.

BACKGROUND AND OBJECTIVE: Artificial Intelligence (AI) is seen as a potential solution to alleviate workforce demands arising from growing use of magn...

AI-Based Digital Pathology-Enabled Spatial-Omics Data Analyses of the Human Kidney.

Identification of tissue-region-specific changes in glycosylation is crucial for understanding the pathogenesis of kidney diseases, yet it remains a g...

Artificial Intelligence-Enhanced Identification of Incidental Findings in Prostate MRI.

OBJECTIVES: The use of prostate magnetic resonance imaging (MRI) is increasing, and coverage often captures substantial portions of the pelvis, visual...

Transforming Psoriatic Disease Care Through Innovation and Real-World Data: GRAPPA 2025 Soapbox Highlights.

The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2025 annual meeting, held in Bogotá, Colombia, featured soapbox pr...

Prognostic value of estimated pulse wave velocity for all-cause and cardiovascular mortality in individuals with cardiovascular-kidney-metabolic (CKM) syndrome: analyses of NHANES 2007-2018.

BACKGROUND: The impact of estimated pulse wave velocity (ePWV) on the prognosis of cardiovascular-kidney-metabolic (CKM) syndrome has not been explore...

Phenotyping Preeclampsia Using Unsupervised Machine Learning: A Prospective Cohort Study.

OBJECTIVE: To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine learning. DESIGN: Prospective cohort study. SETTING:...

Performance and Utility of the Sybil Deep Learning Model for Lung Cancer Risk Prediction in Asian High- and Low-Risk Populations.

BACKGROUND: Sybil is a deep learning model designed to predict future lung cancer risk based on a single low-dose chest CT (LDCT) scan, facilitating a...

Artificial intelligence in small tissue biopsies: diagnostic applications, histochemical integration, and methodological challenges in surgical pathology.

Small tissue biopsies, including renal core biopsies, bone marrow trephines, gastrointestinal endoscopic samples, prostate needle cores, liver biopsie...

A Bioinspired Three-Dimensional High-Curvature Nano-Interface Integrated Microfluidic Chip for Small Extracellular Vesicles Enrichment and Machine Learning-Assisted Prostate Cancer Precision Diagnosis.

The efficient and unbiased isolation of small extracellular vesicles (sEVs) from complex biological fluids remains a major obstacle for clinical diagn...

From Flow to Feature Using a Proof-of-Concept Spectral-Driven Machine Learning Approach Using Smart Urinary and Drainage Catheter Systems: Algorithm Development and Validation.

BACKGROUND: Current urinary and drainage catheter systems collect fluids for visual inspection or manual sampling, offering limited diagnostic value w...

Generative AI-Assisted Microlearning for Erectile Dysfunction Myth Reduction: Single-Center Pre-Post Quasi-Experimental Study.

BACKGROUND: Erectile dysfunction (ED) is strongly influenced by persistent misconceptions that delay help-seeking and limit engagement with effective ...

A probabilistic framework for risk-bounded patient-specific quality assurance in volumetric modulated arc therapy based on measured and calculated gamma pass rates.

This study introduces a probabilistic framework for patient-specific quality assurance (PSQA) in volumetric modulated arc therapy (VMAT), using gamma ...

Randomized trial of electronic health record implemented AI risk prediction in kidney transplant care.

Artificial intelligence (AI)-based risk prediction is increasingly implemented in clinical care, but randomized evidence on communication and shared d...

Predicting anemia treatment outcomes in maintenance hemodialysis patients using multiple machine learning models.

BACKGROUND: Based on machine learning prediction models, we explored the anemia treatment attainment of patients on maintenance hemodialysis (MHD) and...

[Artificial intelligence as decision support tool in urological oncology: current evidence and challenges].

BACKGROUND: The rising incidence of cancer, increasing life expectancy and complex personalized treatment concepts pose considerable challenges for th...

Dual-conditioned diffusion model with anatomical guidance for geometric distortion correction in prostate MRI.

OBJECTIVE: Geometric distortion from susceptibility artifacts in diffusion-weighted imaging (DWI) degrades anatomical fidelity and complicates clinica...