Latest AI and machine learning research in gastroenterology for healthcare professionals.
Automatic identification of fungi in microscopic fecal images provides important information for eva...
BACKGROUND/AIMS: Intraoperative blood loss is an independent predictor of recurrence and survival af...
BACKGROUND/AIMS: Laparoscopic approaches are increasingly used in selected patients with either colo...
BACKGROUND/AIMS: This work aims to observe the effects of mast cell (MC) chymase on activation, prol...
Liver X receptor (LXR) α and β are cholesterol sensors; they respond to excess cholesterol and stimu...
BACKGROUND/AIMS: In cases of remnantgastric cancer (RGC) with previous lymphadenectomy, laparoscopic...
Natural orifice transluminal endoscopic surgery (NOTES) is a novel surgical procedure during which a...
With the development of capsule endoscopy, developing active capsule endoscopy robot becomes a growi...
We are presenting the management of an infected pancreatic fluid collection that occurred six months...
BACKGROUND/AIMS: The aim of this study was to report on the feasibility of esophagojejunostomy recon...
OBJECTIVE: The aim of this study is to evaluate long-term oncologic outcomes of robotic surgery for ...
Liver cancer is one of the leading causes of cancer mortality worldwide. Hepatocellular carcinoma (H...
Inhibition of the hepatitis C virus (HCV) non-structural protein 3 (NS3) serine protease by molecule...
BACKGROUND: We performed a prospective pilot study of robotic-assisted laparoscopic transanal procte...
BACKGROUND/AIMS: Robotic surgery is increasingly used for rectal cancer. We compared the short- and ...
Inhibition of non-structural protein 5B (NS5B) represents an attractive strategy for the therapeutic...
The response of the liver and blood erythrocyte lipids to the low intensity chronic γ-irradiation ac...
AIM: To determine the feasibility, advantages, and disadvantages of using a robot for holding and ma...