GERD

Multi-dimensional risk prediction and genetic architecture of aspiration pneumonia: a population-based analysis.

BACKGROUND: Aspiration pneumonia represents a significant but understudied cause of morbidity and mortality, particularly among aging populations with neurological comorbidities. Current risk stratification tools rely on single-dimensional clinical data, limiting their predictive accuracy and population health utility. This study aimed to develop comprehensive risk prediction models and identify g...

Endoscopy-based Deep Learning Algorithms versus Endoscopists in Early Esophageal Squamous Cell Carcinoma Detection: A Systematic Review and Meta-Analysis.

INTRODUCTION: To compare the diagnostic performance of endoscopy-based deep learning (DL) algorithms with endoscopists of different experience levels for detecting early esophageal squamous cell carcinoma (ESCC). METHODS: PubMed, Embase, and Web of Science were searched to March 20, 2025, with an update to March 1, 2026. Eligible studies evaluated endoscopy-based DL models for early ESCC against p...

Elucidating the pathogenic mechanism underlying plasticizer-induced chronic kidney disease via integrated network toxicology and machine learning.

Plasticizers are ubiquitous plastic additives that have been linked to multiple adverse health outcomes and elevated risks of chronic kidney disease (...

Integration of single-cell RNA-sequencing and machine learning identifies GRN and FCER1G as potential peroxisomal targets in influenza pathogenesis.

BACKGROUND: Influenza, an acute respiratory infection caused by influenza viruses, imposes a significant burden on the healthcare system. Peroxisomes ...

Advances in Nano-Enabled Biosensing Technology for Gastric Cancer Diagnosis: Mechanistic Insights and Translational Perspectives.

Gastric cancer (GC) remains a critical burden on healthcare, affecting millions of people annually. Helicobacter pylori infection is a critical contri...

Does vesicoureteral reflux severity impact breakthrough UTI risk: a multi-institutional analysis and risk stratification.

BACKGROUND: Vesicoureteral reflux (VUR) is a common urological disorder in children. To date, VUR severity is assessed by grading, and contemporary mo...

Healthcare Providers' Perspectives on the Role of Artificial Intelligence in the Care of Patients with Inflammatory Bowel Disease: An International Survey.

BACKGROUND: Artificial intelligence (AI) is transforming inflammatory bowel disease (IBD) care, but concerns over data quality, privacy, and provider ...

Identification and Validation of Glycosylation-Related Biomarkers in the Hippocampus for Alzheimer's Disease Diagnosis and Drug Repurposing.

As a crucial type of post-translational modification, glycosylation plays a fundamental role in maintaining cellular homeostasis and is closely associ...

Virtual crystal violet chromoendoscopy: a digital alternative to dye-based staining.

BACKGROUND AND AIMS: Routine use of crystal violet (CV) chromoendoscopy for pit pattern-based colorectal lesion characterization is limited by safety ...

Transcriptome and experimental verification identified candidate biomarkers related to mitochondrial metabolism in sepsis-associated encephalopathy.

BACKGROUND: Mitochondrial metabolism (MM) abnormalities have been implicated in multiple diseases, but its contribution to sepsis-associated encephalo...

Identification and analysis of oxidative stress-related genes associated with the occurrence and development of diabetic retinopathy.

Diabetic retinopathy (DR) develops via complex interactions of multiple risk factors and molecular pathways. However, the association between oxidativ...

Integrative transcriptomic analysis identifies immune-associated candidate genes and altered immune cell infiltration in pulmonary arterial hypertension.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a progressive vascular disease characterized by immune dysregulation and pulmonary vascular remod...

Prediction of Early Functional Outcome After Acute Ischemic Stroke Using Real-World Clinical Data in Vietnam and Indonesia: Retrospective Cohort Study.

Accurate prediction of early functional outcome after acute ischemic stroke is critical for clinical decision-making. This retrospective cohort study ...

Post-swallowing voice-based aspiration screening in dysphagia using a deep learning approach: insights from audio segmentation.

Dysphagia presents a serious risk of aspiration that requires continuous monitoring. This study introduces standardized 2 s voice segments for aspirat...

Development and validation of a novel YOLOv5-based artificial intelligence model for gastric mucosal lesion detection.

BACKGROUND AND AIMS: Artificial intelligence (AI) has been widely used in endoscopic diagnosis; however, an AI model capable of comprehensively diagno...

Xiao Zhen Fang mitigates cutaneous toxicity by inhibiting PANoptosis: Insights from untargeted metabolomics and transcriptomics.

BACKGROUND: Epidermal growth factor receptor (EGFR) inhibitors and other targeted therapies frequently cause cutaneous toxicities, impairing patient q...

Fully automated artificial intelligence-based echocardiographic analysis substantially reduces workflow time while preserving measurement accuracy: a pilot study.

BACKGROUND: Transthoracic echocardiography (TTE) requires time-intensive integration of quantitative measurements and qualitative visual assessment. F...

Application of Health Examination in Early Screening of Tumors.

Early detection of tumors constitutes a cornerstone of cancer prevention and control. Medical assessments alongside emerging screening modalities prov...

SPARNet: A Framework for Airway Invasion Tracking from Fluoroscopic Videos of Dysphagia Patients.

The videofluoroscopic swallowing study (VFSS) is the clinical gold standard for evaluating dysphagia and detecting airway invasion. However, manual in...

Predictors of the Efficacy of Focused Ultrasound for Moderate-to-Severe Persistent Allergic Rhinitis: A Retrospective Cohort Study.

BACKGROUND: Focused ultrasound (FUS) has achieved favorable results in the treatment of allergic rhinitis (AR). However, some patients still have poor...