Gastroenterology

Global trends and hotspots in robot-assisted gastrointestinal endoscopy: a bibliometric and visualization analysis.

Robot-assisted gastrointestinal endoscopy represents an emerging frontier that extends robotic assis...

The yield of artificial intelligence (GI genius) in Lynch syndrome -A randomized tandem-colonoscopy trial.

BACKGROUND AND AIMS: Artificial intelligence (AI)- assisted colonoscopy has been shown to increase t...

A prospective randomized controlled pilot study of gut microbiome modulation by Nigella sativa seed oil and thymoquinone metabolism in healthy volunteers: implications for gastrointestinal surgery.

Maintaining gut microbial balance may influence outcomes in gastrointestinal surgery. Dietary supple...

FAR-POLYP-SEG: A Prospective Single-Center Colonoscopy Dataset for Colorectal Polyp Segmentation with Patient-Level Metadata and Baseline Cross-Dataset Evaluation.

Reliable computer-aided colonoscopy depends on well-organized imaging data, transparent benchmarking...

User perceptions of an artificial intelligence-based computer-aided detection system in colonoscopy: a single-center exploratory survey study.

PURPOSE: Artificial intelligence (AI)-based computer-aided detection (AI-CADe) systems can improve a...

Spatial Configuration of Pancreatic Cancer Is Associated with Disease Recurrence after Neoadjuvant Therapy and Curative-Intent Resection.

PURPOSE: Pancreatic ductal adenocarcinoma (PDAC) frequently recurs after neoadjuvant therapy (NT) an...

Explainable Deep Learning of Transcriptomes Prioritizes Candidate Biomarkers With Preferential Performance in Gastric Cardia Cancer Cohorts.

Gastric cardia adenocarcinoma is biologically distinct from distal disease, but deployable molecular...

Machine learning for early post-ESWL risk stratification of pancreatitis in chronic pancreatitis.

Non-invasive tests for early-stage liver fibrosis: Current advances and challenges.

Early-stage liver fibrosis (F1-F2) constitutes a clinically silent yet pivotal phase during which th...

Machine learning-supported identification of necrosis in colorectal and pancreatic cancer spheroids.

SIGNIFICANCE: The transition to three-dimensional cell models is a reality in cancer research. While...

First Implementation of an All-in-One Solution With Fully Automatic Workflow for Rectal Cancer Based on an Integrated CT-linac.

PURPOSE: This study aimed to prospectively evaluate, in a single-center pilot study, the feasibility...

Infrared spectroscopy with statistical analysis and machine learning for cancer risk assessment in inflammatory bowel disease patients.

Patients with inflammatory bowel disease (IBD) undergo regular colonoscopic surveillance due to thei...

A robustness-first cross-disease framework supports a candidate shared microbial redox axis and disease-specific metabolic divergence in colorectal cancer, Crohn's disease, and liver cirrhosis.

UNLABELLED: Gut microbiome dysbiosis is associated with colorectal cancer (CRC), Crohn's disease (CD...

Unveiling the Gastric Microbiome: Novel Insights into Early Detection and Pathogenesis of Gastric Cancer.

Gastric cancer (GC) remains a major global health burden and is frequently diagnosed at advanced sta...

Deciphering early molecular responses to aristolactam I associated with hepatocellular carcinoma: Computational prediction of a core gene signature and identification of transcription-translation uncoupling under acute aristolactam I exposure.

Aristolochic acid I (AAI) is a potent hepatocarcinogen mainly activated to aristolactam I (ALI). The...

Spatially Aware Acquisition-Independent Deep Learning for IVIM MRI Parameter Estimation in Patients With Esophageal Cancer.

PURPOSE: Neural controlled differential equations (NCDEs) recently emerged as a robust deep learning...

Converging endoscopic techniques and artificial intelligence for diagnosis and risk stratification of pancreatic cystic neoplasms.

Beyond the algorithm: what makes artificial intelligence-assisted colonoscopy effective in routine practice?

Artificial intelligence in upper gastrointestinal endoscopy: what detection rates cannot tell us.

Raman Spectroscopy of Extracellular Vesicles: Toward Clinical Photodiagnosis.

Raman spectroscopy provides specific chemical information about the proteins, lipids, nucleic acids,...

Acrylamide-associated gastric cancer progression involves RRM2-related nucleotide metabolic dysregulation and immune evasion.

Acrylamide (AA) is a widespread environmental contaminant and a probable human carcinogen. Its role ...