Latest AI and machine learning research in gastroenterology for healthcare professionals.
OBJECTIVE: This study aimed to discuss the application value of an artificial intelligence-based dia...
The endocannabinoid system, which includes cannabinoid receptor 1 and 2 subtypes (CBR and CBR, respe...
Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe dis...
BACKGROUND: Evidence on the value of minimally invasive pancreatic surgery (MIPS) has been increasin...
The purpose of this study is to compare robot-assisted and manual subretinal injections in terms of ...
BACKGROUND: Gastroesophageal reflux disease requiring an operative solution is common. Minimally inv...
BACKGROUND: Recent developments in artificial intelligence (AI) systems have enabled advancements in...
Intestinal parasitic infections (IPIs) caused by protozoan and helminth parasites are among the most...
Modern omics technologies can generate massive amounts of biomedical data, providing unprecedented o...
Liver Transplantation is complicated by recurrent fibrosis in 40% of recipients. We evaluated the ab...
Hepatocellular carcinoma (HCC) is the fifth most common malignancy and the third leading cause of ca...
OBJECTIVE: In this paper, we focus on the carrying out and validation of minimally invasive three-di...
BACKGROUND: The robot-assisted approach is now often used for rectal cancer surgery, but its use in ...
BACKGROUND/AIMS: The prediction of clinical outcomes in patients with chronic hepatitis B (CHB) is p...
BACKGROUND: Artificial intelligence computer-aided detection (CADe) of colorectal neoplasia during c...
BACKGROUND: The role of computer-aided detection in identifying advanced colorectal neoplasia is unk...
The analysis of the microvasculature and the assessment of angiogenesis have significant prognostic ...
BACKGROUND: Functional gastrointestinal disorders (FGIDs), as a group of syndromes with no identifie...