Gastroenterology

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

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Evaluation of artificial-intelligence-based liver segmentation and its application for longitudinal liver volume measurement.

BACKGROUND: Accurate liver-volume measurements from CT scans are essential for treatment planning, p...

Copper Metabolism-Related Genes as Biomarkers in Colon Adenoma and Cancer.

PURPOSE: To elucidate the role of copper (Cu) metabolism in the progression of colon adenoma (CA) to...

Multimodal Artificial Intelligence Using Endoscopic USG, CT, and MRI to Differentiate Between Serous and Mucinous Cystic Neoplasms.

Introduction Serous cystic neoplasms (SCN) and mucinous cystic neoplasms (MCN) often exhibit similar...

Single-cell sequencing and machine learning reveal the role of dioxin-interacting genes in HCC prognosis and immune microenvironment.

Dioxins are persistent environmental pollutants that bioaccumulate in the food chain, posing signifi...

Patient-specific deep learning tracking for real-time 2D pancreas localisation in kV-guided radiotherapy.

BACKGROUND AND PURPOSE: In pancreatic stereotactic body radiotherapy (SBRT), accurate motion managem...

Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases.

Gut microbiota has been implicated in the pathogenesis of multiple gastrointestinal (GI) and systemi...

Long-term exposure to PM and liver cancer mortality: Insights into the role of smaller particulate fractions.

Particulate matter (PM) is a recognized carcinogen, but the effects of PM on liver cancer remain und...

Multitask deep learning model based on multimodal data for predicting prognosis of rectal cancer: a multicenter retrospective study.

BACKGROUND: Prognostic prediction is crucial to guide individual treatment for patients with rectal ...

Detecting genetic interactions with visible neural networks.

Non-linear interactions among single nucleotide polymorphisms (SNPs), genes, and pathways play an im...

Enhancing pancreatic cancer detection in CT images through secretary wolf bird optimization and deep learning.

The pancreas is a gland in the abdomen that helps to produce hormones and digest food. The irregular...

Identification and evaluation of biomarkers for diagnosis of chronic hepatitis B using RNA-seq.

BACKGROUND & AIM: Chronic hepatitis B (CHB) is a global public health problem affecting hundreds of ...

Deep learning model applied to real-time delineation of colorectal polyps.

BACKGROUND: Deep learning models have shown considerable potential to improve diagnostic accuracy ac...

Radiomics and deep learning characterisation of liver malignancies in CT images - A systematic review.

BACKGROUND: Computed tomography (CT) has been widely used as an effective tool for liver imaging due...

Immunohistochemical biomarker scoring in gastroesophageal cancers: Can computers help us?

The increasing complexity of cancer diagnostics and treatment selection has placed a growing burden ...

Artificial intelligence for early gastric cancer boundary recognition in NBI and nF-NBI endoscopic images.

OBJECTIVES: Precise delineation of early gastric cancer (EGC) margins is essential for complete rese...

Interpretable machine learning model for predicting anastomotic leak after esophageal cancer surgery via LightGBM.

BACKGROUND: Postoperative anastomotic leakage (AL) is a severe complication following esophageal can...

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