GERD

[Current status and future perspectives of endoscopic surgery for cervical radiculopathy].

Cervical radiculopathy is one of the common degenerative disorders encountered in spinal surgery. With the continuous advancement of surgical instruments and techniques, spinal surgery has entered the era of "visualized minimally invasive treatment."Guided by the principles of minimal invasiveness, precision, and functional preservation, cervical endoscopic surgery has rapidly evolved into a compr...

[Clinical Implementation of Artificial Intelligence in Endoscopy: A Human-Artificial Intelligence Interaction Perspective].

Artificial intelligence (AI) for gastrointestinal endoscopy has shown remarkable performance in detecting and characterizing lesions. A randomized controlled trial reported that AI significantly reduced the miss rates for gastric neoplasms, but real-world implementation studies have shown inconsistent results. This discrepancy cannot be explained solely by technical limitations. Regardless of the ...

[Magnetically Controlled Capsule Endoscopy for Upper Gastrointestinal Examination].

Esophagogastroduodenoscopy (EGD) is the standard diagnostic modality for upper gastrointestinal (UGI) diseases, but its invasive nature and the risk o...

Anti-angiogenesis effect of Baiying Juhua Decoction on the non-small cell lung cancer: integrating pharmacology, multi-machine learning and experimental investigation.

Baiying Juhua Decoction (BYJHD) is a well-established traditional Chinese herbal formula primarily composed of Solanum lyratum and chrysanthemum, whic...

Expression of key genes in IVIG-unresponsive Kawasaki disease and their immune correlation based on bioinformatics analysis.

This study employed bioinformatics to analyze the gene expression profile of Kawasaki disease (KD) patients and identify key genes associated with int...

AI-driven optimization of sustainable solvent-based extraction: A deep learning approach for green sample preparation.

BACKGROUND: This study introduces a data-driven deep learning framework for optimizing the extraction of plant biomolecules, aiming to improve both ef...

Digital horizons: Exploring the future of AI-enabled gastroenterology in the Kingdom of Saudi Arabia.

Artificial intelligence is rapidly reshaping gastroenterology through demonstrable gains in diagnostic precision, procedural quality, and operational ...

Domain adaptation, self-supervision, and generative augmentation enhance GNNs for breast cancer prediction.

Breast cancer presents substantial molecular heterogeneity, requiring accurate subtype classification, receptor-status prediction, and survival estima...

Artificial intelligence in gastrointestinal endoscopy: a global clinical trial analysis.

Deep Learning-Derived Right Ventricular Ejection Fraction Predicts Mortality in Patients Undergoing Transcatheter Tricuspid Valve Intervention.

BACKGROUND: Transcatheter tricuspid valve intervention (TTVI) has emerged as a valuable therapeutic option for patients with severe tricuspid regurgit...

Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre cohort study.

BACKGROUND: Precancerous gastric lesions (PLGC) are a critical stage in gastric cancer progression, where timely intervention can substantially reduce...

Correction in: Artificial Intelligence-Assisted Capsule Endoscopy Versus Conventional Capsule Endoscopy for Detection of Small Bowel Lesions: A Systematic Review and Meta-Analysis.

Computer Aided Polyp Detection Multi-center International Randomized Controlled Study with a Focus on Community Clinics: GAIN Clinical Trial.

BACKGROUND/AIMS: Computer-aided polyp detection (CADe) systems can enhance polyp detection, although their performance has largely been evaluated at a...

Development of a Patient-Specific Fontan Failure Risk Calculator Using Machine Learning - A Step Towards Personalized Medicine.

OBJECTIVE: The Fontan operation is the final step in staged palliation for patients with single ventricle physiology. It has extended their life expec...

Machine learning and network pharmacology identify keloid biomarkers (AMPH, TNFRSF9) and therapeutic targets (IL6, HAS2) for aloe-derived quercetin.

OBJECTIVE: This study aimed to identify diagnostic biomarkers for keloid and explore potential therapeutic agents from traditional Chinese medicine (T...

Identification of cell senescence-related genes in spontaneous preterm birth based on bioinformatics analysis and machine learning.

Spontaneous premature birth (SPTB) is a common pregnancy complication; however, few studies have explored cell senescence-related markers in SPTB. Bio...

Error in: Artificial Intelligence-Assisted Capsule Endoscopy Versus Conventional Capsule Endoscopy for Detection of Small Bowel Lesions: A Systematic Review and Meta-Analysis: Request for Correction.

Effect of Helicobacter pylori infection on deep learning-assisted detection of gastric neoplastic lesions under white light endoscopy.

BACKGROUND: Artificial intelligence (AI)-assisted endoscopy facilitates upper gastrointestinal lesion detection. Whether Helicobacter pylori (H. pylor...

Assessment of AI-generated responses to common pregnancy questions: A blinded expert evaluation.

INTRODUCTION: We conducted a cross-sectional, blinded expert evaluation of AI-generated answers to 22 frequently asked pregnancy questions to characte...

The 2025 top 10 list of endoscopy topics in medical publishing: an annual review by the American Society for Gastrointestinal Endoscopy Editorial Board.

Using a systematic literature search of original articles published during 2025 in Gastrointestinal Endoscopy (GIE) and other high-impact medical and ...