Latest AI and machine learning research in gastroenterology for healthcare professionals.
Automatic mucosal lesion segmentation is a critical component in computer-aided clinical support sys...
PURPOSE: To evaluate the image quality of ultra-high-resolution CT (U-HRCT) images reconstructed usi...
Milk serves as an important dietary source of bioactive peptides, offering notable benefits to indiv...
Presently, close to two million patients globally succumb to gastrointestinal reflux diseases (GERD)...
BACKGROUND: Gastrointestinal stromal tumors (GISTs) are clinically heterogeneous with various malign...
INTRODUCTION: Identifying the geographical origin of Gastrodia elata Blume contributes to the scient...
BACKGROUND AND AIM: Pancreatic cancer possesses a high prevalence and mortality rate among other can...
BACKGROUND: Acetaminophen (APAP) is commonly used as an antipyretic analgesic. However, acetaminophe...
The progression of gastric cancer involves a complex multi-stage process, with gastroscopy and biops...
Minimally invasive surgery is safe and effective in colorectal cancer. Conversion to open surgery ma...
BACKGROUND: The 8th AJCC TNM staging for non-metastatic lymph node-positive colon adenocarcinoma pat...
Cytokines have been identified as key contributors to the development of inflammatory bowel disease ...
Colorectal cancer is one of the top contributors to cancer-related deaths in the United States, with...
Transarterial chemoembolization (TACE) represent the standard of therapy for non-operative hepatocel...
OBJECTIVE: The aim of this study was to explore whether machine learning model based on computed tom...
Gastric cancer (GC) is the fifth most common cancer worldwide and is a heterogeneous disease. Among ...
BACKGROUND: Patient selection is extremely important in obstructed defecation syndrome (ODS) and rec...
Type 2 diabetes (T2D) is the fastest growing non-infectious disease worldwide. Impaired insulin secr...
The implementation of AI assisted cancer detection systems in clinical environments has faced numero...
PURPOSE: This study was designed to investigate the prognostic significance of artificial intelligen...
This study aimed to establish a machine learning (ML) model for predicting hepatic metastasis in eso...