Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND AND AIM: Reliable bowel preparation assessment is important in colonoscopy. However, curr...
This study intends to use the basic information and blood routine of schistosomiasis patients to est...
Sepsis-Associated Liver Injury (SALI) is an independent risk factor for death from sepsis. The aim o...
PURPOSE: To assess the efficacy of machine learning and radiomics analysis by computed tomography (C...
Recognition of gastric conditions during endoscopy exams, including gastric cancer, usually requires...
BACKGROUND: To predict clinical important outcomes for colorectal liver metastases (CRLM) patients r...
PURPOSE: To evaluate the diagnostic accuracy of computed tomography (CT)-based radiomic algorithms a...
BACKGROUND: In laparoscopic liver surgery, accurately predicting the displacement of key intrahepati...
The evaluation of morphologic features, such as inflammation, gastric atrophy, and intestinal metapl...
Ultrasound envelope statistics imaging, including ultrasound Nakagami imaging, homodyned-K imaging, ...
PURPOSE: To evaluate the effectiveness of deep learning-based reconstruction (DLR) in improving imag...
INTRODUCTION: Accurate risk prediction can facilitate screening and early detection of pancreatic ca...
RATIONALE AND OBJECTIVES: The proliferative nature of hepatocellular carcinoma (HCC) is closely rela...
Magnetic Resonance Imaging (MRI) is increasingly being used in treatment planning due to its superio...
The rapid evolution of artificial intelligence and the widespread embrace of digital technologies ha...
Integrating artificial intelligence into inflammatory bowel disease (IBD) has the potential to revol...
BACKGROUND: Rectal temperature (RT) is an important index of core temperature, which has guiding sig...
BACKGROUND AND AIMS: Gastric intestinal metaplasia is a precancerous disease, and a timely diagnosis...
Accurate treatment outcome assessment is crucial in clinical trials. However, due to the image-readi...
Natural language processing (NLP)-based data extraction from electronic health records (EHRs) holds...
BACKGROUND: Patients with alpha-fetoprotein (AFP)-positive hepatocellular carcinoma (HCC) have aggre...