Latest AI and machine learning research in gastroenterology for healthcare professionals.
Artificial intelligence is expected to help identify excellent candidates in drug discovery. However...
BACKGROUND AND AIMS: The complications of liver cirrhosis occur after long asymptomatic stages of pr...
BACKGROUND AND AIMS: The American Society for Gastrointestinal Endoscopy (ASGE) AI Task Force along ...
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 ...
BACKGROUND AND AIMS: Alcohol-associated hepatitis (AH) poses significant short-term mortality. Exist...
Gastric cancer presents a formidable challenge, marked by its debilitating nature and often dire pro...
Khorana score (KS) is an established risk assessment model for predicting cancer-associated thrombos...
BACKGROUND/AIMS: The performance of machine learning (ML) in predicting the outcomes of patients wit...
PURPOSE: Due to improved survival of esophageal cancer patients, long-term quality of life (QoL) is ...
OBJECTIVE: Gastric cancer is a prevalent gastrointestinal malignancy worldwide. In this study, a pro...
OBJECTIVES: This study aimed to investigate tumor heterogeneity of colorectal liver metastases (CRLM...
PURPOSE: To assess whether diffusion-weighted imaging (DWI) with Compressed SENSE (CS) and deep lear...