Latest AI and machine learning research in gastroenterology for healthcare professionals.
Accurate segmentation of the liver parenchyma, portal veins, hepatic veins, and lesions from MRI is ...
A new artificial oesophagus is described. The device allows minimally invasive oesophageal resection...
PURPOSE: To develop a radiomics machine learning model for detecting liver fibrosis on CT images of ...
Organ segmentation using F-FDG PET images alone has not been extensively explored. Segmentation base...
Although neoadjuvant chemotherapy with docetaxel + cisplatin + 5-fluorouracil (CF) has been the stan...
To develop and validate artificial intelligence models based on contrast-enhanced CT(CECT) images of...
Colorectal cancer (CRC) is a significant global health concern, and early detection through screenin...
Pancreatic ductal adenocarcinoma (PDAC) is known to progress from one of two main precursor lesions:...
OBJECTIVES: This study aimed to develop an accurate prediction model for the risk of Non-alcoholic f...
Following complete mesocolic excision (CME), heart failure (HF) emerges as a significant complicatio...
BACKGROUND: To enhance post-transplantation hepatocellular carcinoma (HCC) recurrence prediction by ...
Contrast enema (CE) is widely used in the evaluation of suspected Hirschsprung disease (HD). Deep le...
Cirrhosis care is inherently complex, marked by a high risk of acute decompensation and significant ...
Nanorobotics is catalyzing a paradigm shift in GI surgery by synergizing nanoscale engineering, synt...
Helicobacter pylori (H. pylori) is the most common carcinogenic pathogen globally and the leading ca...
BACKGROUND/AIMS: Inflammatory bowel disease (IBD) has become a global health concern. With the growi...
Accurate liver vessel segmentation is essential for effective liver surgery pre-planning, and reduci...
Genetic and microbial factors influence inflammatory bowel disease (IBD), prompting our study on non...
INTRODUCTION: Hepatoblastoma (HB) with hepatocellular carcinoma (HCC) features (HBHF) is a rare live...
Artificial intelligence (AI) models based on pathological slides have great potential to assist path...
This study investigates the application of deep learning techniques for segmenting glands in histopa...