Latest AI and machine learning research in gastroenterology for healthcare professionals.
The treatment of choice for canine alimentary tract neoplasms is surgical excision, but it can somet...
The early detection of liver cirrhosis and its complications is a conundrum in clinical practice. We...
Tilianin is a commonly used pharmaceutical ingredient with various biological activities such as ant...
BACKGROUND: High tumor recurrence after surgery remains a significant challenge in managing hepatoce...
BACKGROUND: The gut microbiome plays a key role in the development of inflammatory bowel disease (IB...
BACKGROUND: Gastric interoception (i.e., the perception of gastrointestinal signals such as hunger, ...
Accurate assessment of lymph node metastasis (LNM) in T1/2-stage esophageal squamous cell carcinoma ...
Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge in modern medicine, characterized ...
BACKGROUND: Primary liver cancer is the sixth most common cancer globally and ranks third in cancer-...
OBJECTIVE: Predicting treatment response in Crohn's disease (CD) is essential for making an optimal ...
Computed tomography (CT) is a cornerstone of abdominal imaging, playing a vital role in accurate dia...
Histopathologic evaluation plays a crucial role in assessing morphological tissue alterations in dis...
BACKGROUND: As cardiovascular disease (CVD) is the leading cause of noncancer mortality in colorecta...
OBJECTIVES: Virtual Chromoendoscopy (VCE) is pivotal for assessing activity and predicting outcomes ...
OBJECTIVE: Hepatitis B virus (HBV) is a significant global health threat, responsible for severe liv...
Many ways of classifying steatotic liver disease (SLD) with metabolic conditions have been proposed....
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a spectrum of chronic pathologic...
Metastatic hepatic carcinoma (MHC) remains a lethal disease, with a 5-year survival rate of around 1...
PURPOSE: To assess the effects of industry-developed deep learning reconstruction with super resolut...
PURPOSE: Segmentation of target volumes and organs at risk on computed tomography (CT) images consti...
Early identification of unresectable hepatocellular carcinoma (HCC) patients who may benefit from im...