Gastroenterology

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

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Surgical Insight-guided Deep Learning for Colorectal Lesion Management.

BACKGROUND: Colonoscopy stands as a pivotal diagnostic tool in identifying gastrointestinal diseases...

Machine learning to predict lymph node metastasis in T1 esophageal squamous cell carcinoma: a multicenter study.

BACKGROUND: Existing models do poorly when it comes to quantifying the risk of lymph node metastases...

Development and validation of a deep learning model for predicting gastric cancer recurrence based on CT imaging: a multicenter study.

INTRODUCTION: The postoperative recurrence of gastric cancer (GC) has a significant impact on the ov...

Toward automated small bowel capsule endoscopy reporting using a summarizing machine learning algorithm: The SUM UP study.

BACKGROUND AND OBJECTIVES: Deep learning (DL) algorithms demonstrate excellent diagnostic performanc...

Construction and validation of a machine learning-based prediction model for short-term mortality in critically ill patients with liver cirrhosis.

OBJECTIVE: Critically ill patients with liver cirrhosis generally have a poor prognosis due to compl...

"Artificial histology" in colonic Neoplasia: A critical approach.

BACKGROUND: The histological assessment of colorectal precancer and cancer lesions is challenging an...

Machine learning based on alcohol drinking-gut microbiota-liver axis in predicting the occurrence of early-stage hepatocellular carcinoma.

BACKGROUND: Alcohol drinking and gut microbiota are related to hepatocellular carcinoma (HCC), but t...

Development and validation of an individualized nomogram for predicting distant metastases in gastric cancer using a CT radiomics-clinical model.

PURPOSE: This study aimed to develop and validate a model for accurately assessing the risk of dista...

Pediatric Liver Transplant Pathology: An Update and Practical Consideration.

This review provides a summary of the diagnostic approach to pediatric liver transplantation (LT) pa...

Cost-Effectiveness for Artificial Intelligence in Colonoscopy.

Artificial intelligence (AI) is set to transform the field of colonoscopy through the implementation...

Analysis of four long non-coding RNAs for hepatocellular carcinoma screening and prognosis by the aid of machine learning techniques.

Hepatocellular carcinoma (HCC) represents a significant health burden in Egypt, largely attributable...

-targeted AI-driven vaccines: a paradigm shift in gastric cancer prevention.

, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cance...

Artificial intelligence measured 3D lumbosacral body composition and clinical outcomes in rectal cancer patients.

INTRODUCTION: Patient body composition (BC) has been shown to help predict clinical outcomes in rect...

Ultrasound Versus Elastography in the Diagnosis of Hepatic Steatosis: Evaluation of Traditional Machine Learning Versus Deep Learning.

The prevalence of fatty liver disease is on the rise, posing a significant global health concern. If...

F-FDG PET/CT-based habitat radiomics combining stacking ensemble learning for predicting prognosis in hepatocellular carcinoma: a multi-center study.

BACKGROUND: This study aims to develop habitat radiomic models to predict overall survival (OS) for ...

Role of Artificial Intelligence for Colon Polyp Detection and Diagnosis and Colon Cancer.

The broad use of artificial intelligence (AI) and its various applications have already shown signif...

Artificial Intelligence in Inflammatory Bowel Disease.

Artificial intelligence (AI) is being increasingly studied and implemented in gastroenterology. In i...

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