Latest AI and machine learning research in gastroenterology for healthcare professionals.
Gastric cancer ranks as the fifth most common and fourth most lethal cancer globally, with a disma...
BACKGROUND: Colorectal polyps are precancerous diseases of colorectal cancer. Early detection and re...
Accurate 3D scene reconstruction is essential for numerous medical tasks. Given the challenges in ...
Gastric cancer is one of the most commonly diagnosed cancers and has a high mortality rate. Due to...
Species-specific differences in protein translation can affect the design of protein-based drugs. Co...
Purpose: Retrieval-augmented generation (RAG) is a technology to enhance the functionality and rel...
Multi-map Sparse Monocular visual Simultaneous Localization and Mapping applied to monocular endos...
With the significantly increasing incidence and prevalence of abdominal diseases, there is a need ...
While AI-assisted colonoscopy promises improved colorectal cancer screening, its success relies on...
The registration between the pre-operative model and the intra-operative surface is crucial in ima...
This article discusses the manuscript recently published in the , which explores the application of ...
BACKGROUND: Insulin resistance, lipotoxicity, and mitochondrial dysfunction contribute to the pathog...
It is clear that artificial intelligence-based chatbots will be popular applications in the field of...
Background: Automated analysis of CT scans for abdominal organ measurement is crucial for improvin...
Pancreatic ductal adenocarcinoma (PDAC) is one of the most common and aggressive types of pancreat...
Foodborne gastrointestinal (GI) illness is a common cause of ill health in the UK. However, many c...
The incidence of gastrointestinal cancers remains significantly high, particularly in China, empha...
BACKGROUND: Accurate prediction of early recurrence (ER) is essential to improve the prognosis of pa...
This paper explores the application of reinforcement learning to optimize the parameters of a Type...
The Segment Anything Model (SAM) has revolutionized open-set interactive image segmentation, inspi...
The scanning time for a fully sampled MRI can be undesirably lengthy. Compressed sensing has been ...