Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: The nasopharyngolaryngoscopy (NPL) has emerged as a valuable tool for detecting early ca...
BACKGROUND/INTRODUCTION: To evaluate the performance of pre-trained deep learning schemes (DLS) in h...
HIV remains a critical global health issue, with an estimated 39.9 million people living with the vi...
This work aims to develop a novel convolutional neural network (CNN) named ResNet50* to detect vario...
Data-driven methods have shown tremendous progress in medical image analysis. In this context, deep ...
INTRODUCTION: The postoperative recurrence of gastric cancer (GC) has a significant impact on the ov...
BACKGROUND: Existing models do poorly when it comes to quantifying the risk of lymph node metastases...
BACKGROUND: Colonoscopy stands as a pivotal diagnostic tool in identifying gastrointestinal diseases...
BACKGROUND: Extrapancreatic perineural invasion (EPNI) increases the risk of postoperative recurrenc...
OBJECTIVE: Critically ill patients with liver cirrhosis generally have a poor prognosis due to compl...
BACKGROUND AND OBJECTIVES: Deep learning (DL) algorithms demonstrate excellent diagnostic performanc...
BACKGROUND: The histological assessment of colorectal precancer and cancer lesions is challenging an...
BACKGROUND: Alcohol drinking and gut microbiota are related to hepatocellular carcinoma (HCC), but t...
PURPOSE: This study aimed to develop and validate a model for accurately assessing the risk of dista...
This review provides a summary of the diagnostic approach to pediatric liver transplantation (LT) pa...
RATIONALE AND OBJECTIVES: To develop and validate multiple machine learning predictive models incorp...
Artificial intelligence (AI) is set to transform the field of colonoscopy through the implementation...
, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cance...
INTRODUCTION: Patient body composition (BC) has been shown to help predict clinical outcomes in rect...
BACKGROUND: This study aims to develop habitat radiomic models to predict overall survival (OS) for ...
The prevalence of fatty liver disease is on the rise, posing a significant global health concern. If...