Latest AI and machine learning research in gastroenterology for healthcare professionals.
Although nilotinib hepatotoxicity can cause severe clinical conditions and may alter treatment plan...
PURPOSE: Liver cancer is one of the most common types of cancers in Asia with a high mortality rate....
BACKGROUND: The da Vinci single-port (SP) system is designed to facilitate single-incision robotic s...
Colorectal cancer (CRC) is globally the third most common type of cancer. Colonoscopy is considered ...
Minimally invasive distal pancreatectomy has become increasingly used in practice. While laparoscopi...
Big data is defined as being large, varied or frequently updated, and usually generated from real-wo...
Using "human-in-the-loop" (HIL) optimization can obtain suitable exoskeleton assistance patterns to ...
Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule en...
BACKGROUND AND OBJECTIVE: Functional gastrointestinal disorders (FGIDs) are reported as worldwide ga...
STUDY OBJECTIVE: To evaluate the safety and feasibility of robot-assisted transvaginal natural orifi...
BACKGROUND: Robot-assisted laparoscopic transverse colon tumor surgery requires precise tumor locali...
OBJECTIVE: Robotic endoscopes have the potential to dramatically improve endoscopy procedures, howev...
Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the in...
OBJECTIVES: Deep learning has been proven to be able to stage liver fibrosis based on contrast-enhan...
Colonoscopy is an effective tool for early screening of colorectal diseases. However, the applicatio...
Pancreas segmentation in medical imaging is of great significance for clinical pancreas diagnostics ...
PURPOSE: A three-dimensional (3D) structure extraction technique viewed from a two-dimensional image...
PURPOSE: Esophageal cancer is a common malignant tumor in life, which seriously affects human health...
Liver is an important parenchyma organ, and its tissue viability plays an important role in liver tr...
Abdominal anatomy segmentation is crucial for numerous applications from computer-assisted diagnosis...
PURPOSE: Accurate deformable registration between computed tomography (CT) and cone-beam CT (CBCT) i...