Latest AI and machine learning research in gastroenterology for healthcare professionals.
OBJECTIVES: The accurate prediction of post-hepatectomy early recurrence in patients with hepatocell...
Analysis of population structure and genomic ancestry remains an important topic in human genetics a...
BACKGROUND: Robot-assisted distal pancreatectomy (RDP) has been suggested to hold some benefits over...
PURPOSE: The pathological diagnosis of surgically resected gastric cancer involves both a macroscopi...
Given the current bans on the use of some growth promoting antibiotics in poultry nutrition, the nee...
BACKGROUND: Combined liver and bile duct resection with biliary reconstruction for hepatobiliary mal...
BACKGROUND : Deep learning models have previously been established to predict the histopathology and...
In the past few years, we have seen a surge in the development of relevant artificial intelligence (...
BACKGROUND: Colorectal cancer is a leading cause of cancer deaths. Several screening tests, such as ...
OBJECTIVES: Hydrogel spacer (HS) was developed to reduce rectal toxicities caused by radiotherapy, b...
OBJECTIVE: To develop and investigate a deep learning model with data integration of ultrasound cont...
BACKGROUND AND OBJECTIVE: The artificial segmentation of early gastric cancer (EGC) lesions in gastr...
BACKGROUND: To assess the feasibility, clinical utility, and safety of intrathoracic robotic-sewn es...
BACKGROUND AND OBJECTIVE: Current studies based on digital biopsy images have achieved satisfactory ...
Segmentation of rectal cancerous regions from Magnetic Resonance (MR) images can help doctor define ...
BACKGROUND: Distal rectal transection following robotic total mesorectal excision for rectal cancer ...