Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: On the introduction of robot-assisted thoracoscopic esophagectomy (RATE), we refined the...
The Pediatric Acute Liver Failure (PALF) study is a multicenter, observational cohort study of infan...
OBJECTIVE: To investigate the application of machine learning-based ultrasound radiomics in preopera...
BACKGROUND: Surface-guided radiation therapy can be used to continuously monitor a patient's surface...
To construct a machine learning algorithm model of lymph node metastasis (LNM) in patients with poor...
As an analytic pipeline for quantitative imaging feature extraction and analysis, radiomics has grow...
BACKGROUND : Artificial intelligence (AI) research in colonoscopy is progressing rapidly but widespr...
Despite the availability of various diagnostic tests for inflammatory bowel diseases (IBD), misdiagn...
The gut microbiota's metabolome is composed of bioactive metabolites that confer disease resilience....
BACKGROUND: Liver cancer is a substantial disease burden in China. As one of the primary diagnostic ...
BACKGROUND: Drug-induced liver injury (DILI) is an adverse reaction caused by the intake of drugs of...
Since the 20 century, cancer has become one of the main diseases threatening human health. Liver can...
Big data and its approaches are generally helpful for healthcare and biomedical sectors for predicti...
A number of staging systems have been developed to predict clinical outcomes in hepatocellular carci...
Intestinal obstruction is a common surgical emergency in children. However, it is challenging to see...
MOTIVATION: Drug-induced liver injury (DILI) is one of the primary problems in drug development. Ear...
INTRODUCTION: This study describes the experience with robot-assisted transanal minimally invasive s...
Liver cancer is one of the leading causes of cancer deaths in Asia and Africa. It is caused by the H...
BACKGROUND: Esophagogastroduodenoscopy (EGD) is generally a safe procedure, but adverse events often...
PURPOSE: The robotic system was introduced to overcome the technical limitations of conventional lap...
OBJECTIVES: To train a deep learning model to differentiate between pathologically proven hepatocell...