Gastroenterology

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

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Investigating the Mechanisms of Pazopanib-induced Hepatotoxicity: Insights from Network Toxicology, Microarray Analysis, and Machine Learning.

BACKGROUND: Pazopanib is an oral multi-kinase inhibitor that is effective in treating various tumors...

Deep Learning and Radiomic Signatures Associated with Tumor Immune Heterogeneity Predict Microvascular Invasion in Colon Cancer.

RATIONALE AND OBJECTIVES: This study aims to develop and validate a deep learning radiomics signatur...

Evaluation of a deep-learning segmentation model for patients with colorectal cancer liver metastases (COALA) in the radiological workflow.

OBJECTIVES: For patients with colorectal liver metastases (CRLM), total tumor volume (TTV) is progno...

End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study.

OBJECTIVES: Pancreatic cancer treatment plans involving surgery and/or chemotherapy are highly depen...

Development and validation of a hypoxemia prediction model in middle-aged and elderly outpatients undergoing painless gastroscopy.

Hypoxemia is a common complication associated with anesthesia in painless gastroscopy. With the agin...

Mechanisms underlying obesity-malignancy connection: a systematic narrative review.

The association between obesity and cancer risk carries substantial public health ramifications as o...

Characteristic genes and immune infiltration analysis of gastric cancer based on bioinformatics analysis and machine learning.

BACKGROUND: Gastric cancer (GC), a common and deadly malignancy worldwide, is a serious burden on so...

Guideline-driven clinical decision support for colonoscopy patients using the hierarchical multi-label deep learning method.

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical dec...

Recent advancement in size measurement during endoscopy.

Accurate lesion size measurement is essential in endoscopic practice as it influences treatment stra...

Innate immune cell barrier-related genes inform precision prognosis in pancreatic cancer.

INTRODUCTION: Pancreatic cancer (PC) remains a lethal malignancy with limited treatment options. The...

Cardiovascular, Kidney, Liver, and Metabolic Interactions in Heart Failure: Breaking Down Silos.

Over the past few decades, the rising burden of metabolic disease, including type 2 diabetes, predia...

Diagnostic Methods and Biomarkers in Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) refers to a chronic inflammatory condition involving the GI tract t...

The Role of Artificial Intelligence in Chronic Liver Diseases and Liver Transplantation.

In hepatology, pattern recognition in laboratory data and clinical characteristics is the hallmark o...

Revealing 3D microanatomical structures of unlabeled thick cancer tissues using holotomography and virtual H&E staining.

In histopathology, acquiring subcellular-level three-dimensional (3D) tissue structures efficiently ...

Computer-aided diagnosis of colorectal polyps: assisted or autonomous?

Computer-aided diagnosis (CADx) in colonoscopy aims to improve the accuracy of diagnosing small poly...

Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.

INTRODUCTION: Hepatocellular carcinoma is a highly aggressive and heterogeneous malignancy with limi...

Association between pro-inflammatory diet and fecal incontinence: a large population-based study.

BACKGROUND: It is widely acknowledged that dietary habits play a pivotal role in maintaining optimal...

Automatic detection of gastrointestinal system abnormalities using deep learning-based segmentation and classification methods.

Early diagnosis and precise treatment of gastrointestinal (GI) diseases are crucial for reducing mor...

Meta-analysis of shotgun sequencing of gut microbiota in obese children with MASLD or MASH.

Alterations in the gut microbiome affect the development and severity of metabolic dysfunction-assoc...

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