Gastroenterology

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

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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; howe...

May 2026 42168606
LRF-CNN: An explainable lightweight receptive field-based CNN for colorectal cancer histopathological image classification.

Colorectal cancer (CRC) screening and diagnosis rely on histopathological assessment, but many high-...

May 2026 42211130
Preoperative identification of tumor deposits in rectal cancer using a transformer-based multimodal fusion model: a multicenter retrospective study.

OBJECTIVE: To develop and validate a transformer-based deep learning-radiomics model for the non-inv...

May 2026 42163131
Comparing the performance of statistical and machine learning survival models in predicting timing and determinants of postnatal care in Rwanda.

BACKGROUND: Postnatal care (PNC) remains the least utilized component of the maternal care continuum...

May 2026 42163183
Artificial intelligence-based vascular pattern profiling predicts prognosis and therapeutic response in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is characterized by active angiogenesis and heterogeneous...

May 2026 42167651
Development and Validation of a Deep Learning-enabled Single Breath-hold Abbreviated MRI Protocol for Hepatocellular Carcinoma Diagnosis.

Purpose To develop a deep learning-enabled single breath-hold abbreviated MRI (DL-SBH-aMRI) protocol...

(1)
May 2026 42159476
ToxiGuard: an AOP-guided mechanistically interpretable framework for multi-organ toxicity prediction.

Accurate prediction of organ-specific toxicity with mechanistic interpretability remains a central c...

May 2026 42159741
Preoperative prediction of tumor budding grade in rectal cancer by combining APT histogram analysis and ADC MRI.

OBJECTIVE: Tumor budding (TB) is a histopathological marker of aggressive behavior and poor prognosi...

May 2026 42159837
Deep Learning Algorithm Based on Contrast-Enhanced Ultrasound Potentially Optimizes Treatment Strategies for Solitary Primary Hepatocellular Carcinoma.

OBJECTIVE: We aimed to propose a prognostic framework using a dual-branch Vision Transformer (ViT) d...

May 2026 42161690
Enhancing esophageal cancer detection using a deep learning framework and a novel spectrum-aided vision enhancer for virtual narrow band imaging.

Esophageal cancer is a highly aggressive malignancy where early detection is critical for survival. ...

May 2026 42162031
AI-driven volumetric approach for automatic chemotherapy response assessment in colorectal liver metastases.

OBJECTIVES: This study evaluates the clinical utility of an artificial intelligence (AI)-driven volu...

May 2026 42162286
Habitat analysis and other AI technologies for Ki-67 prediction in hepatocellular carcinoma: a multi-center study.

OBJECTIVES: To develop various artificial intelligence (AI) models including radiomics, deep transfe...

May 2026 42157135
Artificial intelligence-based anatomical recognition improves surgeon decision-making during robotic gastrectomy.

BACKGROUND: Artificial intelligence (AI)-based anatomical recognition has emerged to support intraop...

May 2026 42154345
Deep learning-based prediction of lymph node metastasis and occult tumor cells in gastric cancer using histopathological images: a retrospective study.

BACKGROUND: Lymph node metastasis (LNM) is an important prognostic factor but is often underdiagnose...

May 2026 42156979
Precision nutrition for the prevention and management of inflammatory bowel disease.

The rising disease burden of inflammatory bowel disease (IBD) parallels the changing dietary landsca...

May 2026 42157016
From histology to spatial transcriptomics: establishing a lightweight single-patch baseline.

Predicting spatial gene expression from hematoxylin and eosin (H&E)-stained histological images is a...

May 2026 42151778
Classification of different light colors applied during the incubation period based on small intestine morphology with XGBoost algorithm.

BACKGROUND: Light is a significant environmental stimulus affecting embryonic development during inc...

May 2026 42151964
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