Gastroenterology

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

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Artificial intelligence in endoscopic diagnosis of esophageal squamous cell carcinoma and precancerous lesions.

Esophageal squamous cell carcinoma (ESCC) poses a significant global health challenge, necessitating...

Evaluation of MRI anatomy in machine learning predictive models to assess hydrogel spacer benefit for prostate cancer patients.

INTRODUCTION: Hydrogel spacers (HS) are designed to minimise the radiation doses to the rectum in pr...

Untargeted Lipidomic Biomarkers for Liver Cancer Diagnosis: A Tree-Based Machine Learning Model Enhanced by Explainable Artificial Intelligence.

: Liver cancer ranks among the leading causes of cancer-related mortality, necessitating the develop...

Machine learning for temporary stoma after intestinal resection in surgical decision-making of Crohn's disease.

BACKGROUND: Crohn's disease (CD) often necessitates surgical intervention, with temporary stoma crea...

Development and validation of a deep reinforcement learning algorithm for auto-delineation of organs at risk in cervical cancer radiotherapy.

This study was conducted to develop and validate a novel deep reinforcement learning (DRL) algorithm...

Identification of Biomarkers for Response to Interferon in Chronic Hepatitis B Based on Bioinformatics Analysis and Machine Learning.

Interferon (IFN) is a pivotal agent against hepatitis B virus (HBV) in clinic, but there is a lack o...

Transforming liver transplant allocation with artificial intelligence and machine learning: a systematic review.

BACKGROUND: The principles of urgency, utility, and benefit are fundamental concepts guiding the eth...

A systematic review of machine learning-based prognostic models for acute pancreatitis: Towards improving methods and reporting quality.

BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient ...

Resveratrol in animal models of pancreatitis and pancreatic cancer: A systematic review with machine learning.

BACKGROUND: Resveratrol (RES), a common type of plant polyphenols, has demonstrated promising therap...

CT Imaging of the Pancreas: A Review of Current Developments and Applications.

Pancreatic cancer continues to pose daily challenges to clinicians, radiologists, and researchers. T...

TTGA U-Net: Two-stage two-stream graph attention U-Net for hepatic vessel connectivity enhancement.

Accurate segmentation of hepatic vessels is pivotal for guiding preoperative planning in ablation su...

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging.

Accurate staging of liver fibrosis from magnetic resonance imaging (MRI) is crucial in clinical prac...

Multi-dimensional consistency learning between 2D Swin U-Net and 3D U-Net for intestine segmentation from CT volume.

PURPOSE: The paper introduces a novel two-step network based on semi-supervised learning for intesti...

Multimodal Artificial Intelligence-Based Virtual Biopsy for Diagnosing Abdominal Lavage Cytology-Positive Gastric Cancer.

Gastric cancer with peritoneal dissemination remains a significant clinical challenge due to its poo...

Biophysical versus machine learning models for predicting rectal and skin temperatures in older adults.

This study compares the efficacy of machine learning models to traditional biophysical models in pre...

Raman spectroscopy for colorectal tumor margin assessment: A promising tool for real-time surgical delimitation.

Raman spectroscopy is a promising non-invasive technique not only for the rapid and accurate detecti...

A predictive study on HCV using automated machine learning models.

Hepatitis C virus (HCV) infection represents a significant contributor to chronic liver disease on a...

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