Background: Endoscopic Ultrasound (EUS) is widely used for the diagnosis of bilio-
pancreatic and gastrointestinal (GI) tract diseases, for the evaluation of subepithelial lesions …

Given the breakthroughs in key technologies, such as image recognition, deep learning and
neural networks, artificial intelligence (AI) continues to be increasingly developed, leading to …

Artificial intelligence (AI) is altering the world of medicine. Given the rapid advances in
technology, computers are now able to learn and improve, imitating humanoid cognitive …

The aim of this study was to evaluate the diagnostic value of artificial intelligence algorithm
combined with ultrasound endoscopy in early esophageal cancer and precancerous lesions …

BACKGROUND Traditional methods of developing predictive models in inflammatory bowel
diseases (IBD) rely on using statistical regression approaches to deriving clinical scores …

Simple Summary We previously constructed a VGG-16-based artificial intelligence (AI)
model (image classifier [IC]) to predict the invasion depth in early gastric cancer (EGC) using …

Upper gastrointestinal (GI) cancers are the leading cause of cancer-related deaths
worldwide. Early identification of precancerous lesions has been shown to minimize the …

The quality of upper gastrointestinal endoscopy (EGD) is crucial and carries significant
consequences for patient outcomes, the employment of healthcare resources, and the future …

Objectives To develop and validate radiomics models utilizing endoscopic ultrasonography
(EUS) images to distinguish insulinomas from non-functional pancreatic neuroendocrine …

User-generated content (UGC) on social media platforms plays a significant role in
conveying individual sentiments that are effective in predicting image sentiments by …