Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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Showing 1912-1932 of 8,553 articles
Dual elastography ultrasound for classifying metabolic dysfunction-associated steatotic liver disease: a cross-sectional study within a prospective cohort.

BACKGROUND: The binary diagnostic approach does not reflect the entire spectrum of metabolic dysfunc...

Feb 2026 41642476
Controversies in Computer-Assisted Detection in Colonoscopy.

BACKGROUND: Artificial intelligence (AI) applications in endoscopy, particularly computer-aided dete...

Feb 2026 41642745
Optimizing vedolizumab therapy in ulcerative colitis: A critical synthesis of trial evidence and the emerging role of artificial intelligence.

BACKGROUND: Vedolizumab, a monoclonal antibody targeting the α4β7 integrin, offers gut-selective imm...

Feb 2026 41642870
Finite-Time Admittance Control for Adaptive Compliance of a Soft Actuator of Robotic Gastric Simulator.

To test food, drug formulations, and medical devices, extensive research has focused on developing i...

(1)
Feb 2026 41636658
Biological aging across the metabolic dysfunction-associated steatotic liver disease spectrum: A systematic review.

BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing g...

Feb 2026 41756167
Prevalence of intestinal parasites in a tertiary care hospital and utility of AI-assisted fecal analyzer for their detection.

INTRODUCTION: Intestinal parasitic infections, caused by protozoa and helminths, can lead to malnutr...

Feb 2026 41628712
Exploratory identification of intestinal health and productive performance patterns in post-weaning piglets using explainable machine learning.

Weaning is a critical stage in swine production, characterized by intestinal alterations that affect...

Feb 2026 41636915
Effectiveness of AI-enhanced colonoscopy: A case-control study using real world evidence in a young screening age population.

BACKGROUND: Computer aided detection (CADe) colonoscopy has been shown in randomized controlled tria...

Feb 2026 41637205
Rapid, label-free cancer detection in fresh pancreatic tissue using deep learning and multispectral Mueller matrix polarimetry.

BACKGROUND: Frozen section (FS) tissue assessment is essential for guiding intraoperative surgical d...

Feb 2026 41637699
Ranking-Aware Multiple Instance Learning for Histopathology Slide Classification: Development and Validation Study.

BACKGROUND: Multiple instance learning (MIL) is widely used for slide-level classification in digita...

Feb 2026 41637733
Advances in multi-omics for esophageal squamous cell carcinoma: Diagnostic, prognostic, and therapeutic perspectives.

Esophageal squamous cell carcinoma (ESCC) remains a major health burden, particularly in Asia, with ...

(1)
Feb 2026 41639002
Machine learning-based prognostic model of stemness and angiogenesis-related genes for predicting prognosis and immune infiltration in patients with HCC.

Hepatocellular carcinoma (HCC), the predominant form of primary liver cancer, ranks as the fourth le...

Feb 2026 41639165
Comparison of artificial intelligence and multidisciplinary team recommendations in the management of colorectal cancer liver metastases.

Multidisciplinary teams (MDTs) are central to treatment planning for colorectal cancer liver metasta...

Feb 2026 41639333
Construction of a depression risk prediction model for hepatitis B patients based on machine learning strategy.

BACKGROUND: Hepatitis B (HBV) is a chronic viral infection that can lead to cirrhosis, liver failure...

Feb 2026 41637463
Expanded Indications in Advanced Endoscopic Resection of Malignant Gastrointestinal Lesions.

PURPOSE OF REVIEW: Endoscopic resection (ER) has transformed the management of early gastrointestina...

Feb 2026 41632227
Lipid nanoparticle-delivered ornithine transcarbamylase mRNA alleviates liver fibrosis in preclinical models.

BACKGROUND AND AIMS: Liver fibrosis poses a major health threat globally, with an acute shortage of ...

(1)
Feb 2026 41632884
Integrated multi-dataset screening to predict prognosis and identify immunotherapy gene targets in hepatocellular carcinoma patients.

This study systematically predicts prognosis and key gene targets for immunotherapy in hepatocellula...

Feb 2026 41634343
Predicting health-related quality of life for patients with gastroesophageal cancer.

BACKGROUND: Gastroesophageal cancer has a poor prognosis, and treatment significantly impacts health...

Feb 2026 41634387
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