Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Liver lesions mainly occur inside the liver parenchyma, which are difficult to locate an...
Distant metastasis of cancer is a significant contributor to cancer-related complications, and early...
BACKGROUND: Patients with gastric cancer respond poorly to immunotherapy. There are still unknowns a...
Hepatitis B and C viruses (HBV and HCV) are significant causes of chronic liver diseases, with appro...
BACKGROUND AND OBJECTIVE: Gland segmentation of pathological images is an essential but challenging ...
Hepatitis C, a particularly dangerous form of viral hepatitis caused by hepatitis C virus (HCV) infe...
This systematic review evaluated the current status of AI-assisted colonoscopy to identify histologi...
INTRODUCTION: Colorectal cancer (CRC) is a global public health concern, ranking among the most comm...
Artificial intelligence is expected to help identify excellent candidates in drug discovery. However...
BACKGROUND AND AIMS: The American Society for Gastrointestinal Endoscopy (ASGE) AI Task Force along ...
BACKGROUND AND AIMS: The complications of liver cirrhosis occur after long asymptomatic stages of pr...
For the diagnosis and outcome prediction of gastric cancer (GC), machine learning methods based on w...
BACKGROUND: Large language model (LLM)-linked chatbots may be an efficient source of clinical recomm...
Endoscopy is the primary modality for detecting asymptomatic esophageal squamous cell carcinoma (ESC...
OBJECTIVE: Significant advancements have been made in hepatocellular carcinoma (HCC) therapeutics, s...
BACKGROUND AND AIMS: Accurate bowel preparation assessment is essential for determining colonoscopy ...
Liver cancer has high incidence and mortality globally. Artificial intelligence (AI) has advanced ra...
Current methods of digital pathological images typically employ small image patches to learn local r...
With the rapid development of artificial intelligence, automated endoscopy-assisted diagnostic syste...
Accurate segmentation of lesions is crucial for diagnosis and treatment of early esophageal cancer (...
BACKGROUND AND OBJECTIVE: The effective segmentation of esophageal squamous carcinoma lesions in CT ...