Latest AI and machine learning research in gastroenterology for healthcare professionals.
Natural orifice transluminal endoscopic surgery (NOTES) represents an innovative advancement in mini...
Metabolic dysfunction-associated steatohepatitis (MASH), the progressive inflammatory form of MASLD,...
PURPOSE: Pancreatic cancer (PC) is one of the most lethal malignancies, often presenting with nonspe...
BACKGROUND: Stomach adenocarcinoma (STAD) is one of most common cancers with high invasiveness and p...
Esophagogastroduodenoscopy (EGD) is the pivotal procedure for diagnosis of upper gastrointestinal (U...
BACKGROUND: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality world...
Pancreatic cancer (PC) is a highly aggressive and fatal malignancy, primarily affecting older males....
Pancreatic cancer (PC), often referred to as the "king of cancers", has demonstrated limited success...
The most common types of kidneys and liver cancer are renal cell carcinoma (RCC) and hepatic cell ca...
Accurate real-time optical diagnosis that distinguishes neoplastic from non-neoplastic colorectal le...
Helicobacter pylori (HP) have chronically infected more than half of the world's population and is a...
Hepatocellular carcinoma (HCC) is one of the most common tumors worldwide, posing a significant thre...
This study aimed to identify the risk factors associated with spontaneous rupture and bleeding in he...
Hepatocellular carcinoma (HCC), a leading cause of global cancer mortality, requires molecular strat...
This study aimed to develop a machine learning model based on Magnetic Resonance Imaging (MRI) radio...
This study compares survival predictions made by an artificial intelligence (AI) based chatbot with ...
In medical image segmentation, traditional CNN-based models excel at extracting local features but h...
Metabolic Syndrome (MetS) comprises a clustering of conditions that significantly increase the risk ...
The stomach is one of the main digestive organs in the GIT, essential for digestion and nutrient abs...
This study developed a 5-year survival prediction model for gastric cancer patients by combining rad...
OBJECTIVE: To develop and validate a novel diagnostic model for detecting bacterial infections in pa...