Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Diabetic retinopathy (DR), a prevalent complication in patients with type 2 diabetes, ha...
Accurate whole-cell segmentation is essential in various biomedical applications, particularly in st...
OBJECTIVE: Gastric cancer ranks as one of the top five deadliest cancers worldwide and is often diag...
Pancreatic cancer remains one of the most lethal cancers, primarily due to its late diagnosis and li...
Automated volumetric segmentation of the pancreas on cross-sectional imaging is needed for diagnosis...
In the present study, we explore the dynamics of Hepatitis B virus infection, a significant global h...
Every year, an estimated 1.5 million people worldwide contract Hepatitis C, a significant contributo...
This article discusses the role of deep learning (DL) in cancer imaging, focusing on its application...
BACKGROUND: Although capsule endoscopy (CE) is a crucial tool for diagnosing small bowel diseases, t...
BACKGROUND: Intestinal parasitic infections are still a serious public health problem in developing ...
This study aimed to construct and assess a machine-learning algorithm designed to forecast survival ...
BACKGROUND: Crohn's disease is a severe chronic and relapsing inflammatory bowel disease. Although c...
OBJECTIVE: The purpose of this study was to compare radiation dose reduction capability for accurate...
OBJECTIVE: The risk of gastric cancer can be predicted by gastroscopic manifestation recognition and...
With the development of deep learning in the field of medical image segmentation, various network se...
BACKGROUND: Severe acute pancreatitis (SAP) can be fatal if left unrecognized and untreated. The pur...
BACKGROUND AND AIM: Differentiating between Crohn's disease (CD) and gastrointestinal tuberculosis (...
Metabolic dysfunction-associated steatohepatitis (MASH) is a major cause of liver-related morbidity ...
Clinical proteomics analysis is of great significance for analyzing pathological mechanisms and disc...
To achieve precise Couinaud liver segmentation in preoperative planning for hepatic surgery, accommo...
BACKGROUND: Significant challenges persist in the early identification of microsatellite instability...