Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Accurate pre-treatment prediction of neoadjuvant chemotherapy (NACT) resistance in patie...
We aim to review the available literature on patients with esophageal cancer treated with robot-assi...
PURPOSE: To investigate whether the iodine density of liver parenchyma in the equilibrium phase and ...
PURPOSE: The purpose of this paper is to showcase a fully stapled approach to creating a gastrojejun...
OBJECTIVE: Because the recovery of genitourinary function after total mesorectal excision (TME) is a...
BACKGROUND: More complex cases are being performed robotically. This study aims to characterize tren...
The aim of this work was to evaluate the capability of diffuse reflectance spectroscopy to distingui...
In clinical routine, the diagnosis of cystic fibrosis (CF) is still challenging regardless of intern...
Adiposity accumulation in the liver is an early-stage indicator of non-alcoholic fatty liver disease...
This study aimed to reveal the intermittent fasting-induced alterations in biomolecules of the liver...
Liver fibrosis is a common liver disease that seriously endangers human health. Liver biopsy is the ...
The rise of machine learning in healthcare has significant implications for paediatrics. Long-term c...
Intestinal duplication is the most common type of alimentary tract duplications in childhood. Lapar...
The diversifying modalities of treatment for gastric cancer raise urgent demands for the rapid and ...
PURPOSE: Computer-aided automatic pancreas segmentation is essential for early diagnosis and treatme...
. Accurate segmentation of the pancreas from abdomen CT scans is highly desired for diagnosis and tr...
Colonoscopy is an effective tool to detect colorectal lesions and needs the support of pathological ...
In view of the limited availability, our study addresses the issue of optimal case selection for ro...
A diagnosis of pancreatic cancer is one of the worst cancers that may be received anywhere in the wo...
AIM: The learning curve of total mesorectal excision (TME) by minimally invasive surgery (MIS) beyon...
BACKGROUND: The ability of endoscopists to identify gastric lesions is uneven. Even experienced endo...