Latest AI and machine learning research in gastroenterology for healthcare professionals.
PURPOSE: The purpose of this study was to develop a radiomics-based algorithm to identify small panc...
PURPOSE: The purpose of the research is to design an algorithm to predict the occurrence of acute re...
In line with the digital transformation trend in medical training, students may resort to artificial...
BACKGROUND: Accurate prediction of peritoneal recurrence for gastric cancer (GC) is crucial in clini...
BACKGROUND AND OBJECTIVE: Histologic assessment of the immune infiltrate in H&E slides is vital in d...
BACKGROUND: Postoperative pulmonary complications (PPCs) contribute to high mortality rates and impo...
Accurate segmentation of the pancreas in computed tomography (CT) holds paramount importance in diag...
One Health and planetary health place emphasis on the common molecular mechanisms that connect sever...
To develop a deep learning model for esophageal motility disorder diagnosis using high-resolution m...
BACKGROUND: Recurrent laryngeal nerve (RLN) palsy is a common complication in esophagectomy and its ...
Gastroretentive dosage forms are recommended for several active substances because it is often neces...
Liver cancer, recognized as a significant global health issue, is increasingly correlated with Hepat...
AIMS: The aim of our study was to formulate and validate a prediction model using machine learning a...
BACKGROUND/OBJECTIVES: MicroRNAs (miRNAs) are involved in chemosensitivity through their biological ...
Non-alcoholic Fatty Liver Disease (NAFLD), noted for its widespread prevalence among adults, has bec...
BACKGROUND: Gastric lesions pose significant clinical challenges due to their varying degrees of mal...
BACKGROUND: Ablation zone segmentation in contrast-enhanced computed tomography (CECT) images enable...
Liver cancer is one of the malignancies with high mortality rates worldwide, and its timely detectio...
Image segmentation of the liver is an important step in treatment planning for liver cancer. However...
INTRODUCTION: This study aims to use machine learning to conduct in-depth analysis of key factors af...
BACKGROUND AND OBJECTIVE: In Pancreatic Ductal Adenocarcinoma (PDA), multi-omic models are emerging ...