Gastroenterology

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

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Showing 1870-1890 of 8,553 articles
Metabolomics-guided machine learning reveals diagnostic and mechanistic biomarkers in CHB with MASLD.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) often coexists with chr...

Feb 2026 41671224
Artificial intelligence performance in generating colorectal surgery board questions.

BACKGROUND: Large language models (LLM) can pass medical licensing and specialty board exams, but th...

Feb 2026 41692611
Detection of esophageal varices and prediction of hepatic decompensation in unresectable hepatocellular carcinoma using AI.

BACKGROUND & AIMS: In hepatocellular carcinoma (HCC) with cirrhosis, portal hypertension worsens out...

(3)
Feb 2026 41679555
Unraveling the nonlinear effects of urban blue-green spaces on residents' health in the United States (2000-2019).

Amid rapid urbanization and the degradation of natural landscapes, urban blue-green spaces (BGSs) ha...

Feb 2026 41671994
Artificial Intelligence for Gastroenterology Practice: A Modified Delphi Consensus.

BACKGROUND: The American College of Gastroenterology (ACG) assembled a multidisciplinary task force ...

Feb 2026 41665234
Evaluation of KU-F40 automated microscope for parasitology: when artificial intelligence meets old school microscopy.

Intestinal parasitic infections (IPIs) have a worldwide distribution and have a major impact on heal...

Feb 2026 41665376
Toward Integration of Molecular Measures and Artificial Intelligence-Based Assessments With Clinical End Points in Inflammatory Bowel Disease.

Multimodal profiling of inflammatory bowel disease (IBD) patient tissue and blood samples has reveal...

Feb 2026 41665578
Combining Spatial Transcriptomics and Machine Learning Unravels Fibroblast-Related Biomarkers in Ulcerative Colitis.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by persistent mucosal ...

Feb 2026 41665828
Identifying Post-Surgical Recurrence Subtype of T1 Stage Colorectal Cancer by Machine Learning.

INTRODUCTION: Traditional risk stratification heavily relies on expert judgment and manually establi...

Feb 2026 41666137
A novel integrative machine learning-based prognostic model reveals lactylation regulation in hepatocellular carcinoma progression.

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant liver tumor with poor...

Feb 2026 41668073
Integrative bioinformatics and experiments identify RIBC2 as a key regulator in the esophageal cancer.

Early detection of esophageal cancer (EC) remains a major challenge due to the limited understanding...

Feb 2026 41666178
Classification of liver tissue pathological changes via optical biopsy based on refractive index sensing.

Optical biopsy enables minimally invasive, quantitative tissue assessment, yet clinically useful imp...

Feb 2026 41678970
Development of a hybrid deep learning-based framework for liver fibrosis classification using ultrasound images.

BACKGROUND AND AIMS: Liver fibrosis is a progressive accumulation of extracellular matrix proteins w...

Feb 2026 41756166
Integrative analysis of immune and microbial subtypes predicts immunotherapy response in stomach adenocarcinoma.

The tumor immune microenvironment and intratumoral microbiota play critical roles in cancer progress...

(1)
Feb 2026 41660849
Spectral CT imaging in colorectal cancer: current applications, limitations, and future perspectives.

Colorectal cancer (CRC) is the third most common malignancy worldwide, and early detection is vital ...

Feb 2026 41661515
Clinical Impact of Artificial Intelligence-Augmented Lymph Node Evaluation in Metastatic Gastric, Colorectal, and Breast Cancer.

CONTEXT.—: Lymph node (LN) assessment plays a critical role in cancer staging and prognosis but rema...

Feb 2026 41662874
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