Latest AI and machine learning research in gastroenterology for healthcare professionals.
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide due to ...
INTRODUCTION: Accurate assessment of invasion depth in esophageal squamous cell carcinoma (ESCC) is ...
Real-time biomarker sensing and molecular sampling in the stomach can transform how gastrointestinal...
OBJECTIVE: Endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) has decrease...
BACKGROUND AND STUDY AIMS: Generative indigo carmine chromoendoscopy (generative chromoendoscopy), p...
The study aimed to compare image quality between hybrid iterative reconstruction and deep learning i...
PURPOSE: In this study, we address the problem of automatic liver resection planning for major surgi...
BACKGROUND AND AIMS: Hepatocellular carcinoma (HCC) is a prevalent global cancer. Most patients with...
BACKGROUND & AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) exhibits well-es...
BACKGROUND: Acinar-to-ductal metaplasia (ADM) is a pivotal step in pancreatic tumorigenesis, reversi...
Antimetabolites, primarily studied in cancer, are novel drugs targeting metabolic networks by mimick...
Over the past decade, there has been marked progress in artificial intelligence (AI) and its applica...
PURPOSE: Intestinal ultrasound (IUS) is used to assess and monitor inflammatory bowel disease (IBD)....
Hepatic fibrosis is a pivotal stage in which chronic liver disease progresses from reversible injury...
Pancreatic ductal adenocarcinoma remains one of the deadliest malignancies, characterized by late di...
Prognostic stratification in gastric cancer (GC) currently relies on the tumour-node-metastasis (TNM...
The interplay between mitochondria and programmed cell deaths (PCD) is associated with tumor pathoge...
BACKGROUND AND AIMS: Obesity remains an epidemic associated with significant health consequences. En...
Restrictions or prohibitions on the use of antibiotics in pig feed for growth promotion have been in...
OBJECTIVES: To develop a large-language-model (LLM)-centric workflow flow extraction and migration o...
OBJECTIVE: To develop and validate a prognostic nomogram for predicting progression-free survival (P...