Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: The radiographic finding of pneumatosis intestinalis can indicate a spectrum of underlyi...
OBJECTIVES: Small bowel obstruction is a common surgical emergency which can lead to bowel necrosis,...
BACKGROUND AND OBJECTIVE: Liver tumor ablation is often guided by ultrasound (US). Due to poor image...
Liver tumor segmentation networks are generally based on U-shaped encoder-decoder network with 2D or...
The hepatotoxic potential of drugs is one of the main reasons why a number of drugs never reach the ...
Acute gastrointestinal bleeding is the most common gastrointestinal cause for hospitalization. For h...
Cortisol is a glucocorticoid hormone that is critical to immune system functioning. Studies show tha...
OBJECTIVES: To develop a convolutional neural network system to jointly segment and classify a hepat...
(Kakadu plum) is a native Australian fruit consumed by Indigenous Australians for centuries. Commer...
BACKGROUND: Robotic distal gastrectomy (RDG) has been increasingly used for the treatment of gastric...
OBJECTIVE: This study aimed to evaluate the difference of two various robotic technology applied in ...
Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. Several studies have ...
OBJECTIVES: This study review focuses on a deep learning method for the detection of colorectal lesi...
Gastroenterology has been an early leader in bridging the gap between artificial intelligence (AI) m...
Histopathological diagnosis of pancreatic ductal adenocarcinoma (PDAC) on endoscopic ultrasonography...
INTRODUCTION: Robotic surgical technology has been widely introduced and applied in various fields o...
Open surgery is the standard of care for perihilar cholangiocarcinoma (pCCA). With the aim of oncolo...
Early detection of hepatocellular carcinoma (HCC) is crucial for clinical management. Current studie...
The advancement of artificial intelligence (AI) has facilitated its application in medical fields. H...
Deep learning methods have been shown to achieve excellent performance on diagnostic tasks, but how ...
BACKGROUND: In a previous study, we examined the use of deep learning models to classify the invasio...