Gastroenterology

Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer.

BACKGROUND: Lymph node metastasis (LNM) in gastric cancer is a prognostic factor and has implication...

[Robot-assisted single-anastomosis duodeno-ileal bypass with sleeve gastrectomy].

Single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) is simpler and has similar ...

Double-path parallel convolutional neural network for removing speckle noise in different types of OCT images.

Speckle noises widely exist in optical coherence tomography (OCT) images. We propose an improved dou...

Magnetic resonance imaging-based artificial intelligence model in rectal cancer.

Rectal magnetic resonance imaging (MRI) is the preferred method for the diagnosis of rectal cancer a...

Automated Detection of Crohn's Disease Intestinal Strictures on Capsule Endoscopy Images Using Deep Neural Networks.

BACKGROUND AND AIMS: Passable intestinal strictures are frequently detected on capsule endoscopy [CE...

Deep learning enabled classification of Mayo endoscopic subscore in patients with ulcerative colitis.

OBJECTIVE: Previous reports of deep learning-assisted assessment of Mayo endoscopic subscore (MES) i...

Mapping ethico-legal principles for the use of artificial intelligence in gastroenterology.

The rapid development of artificial intelligence (AI) and digital health raise concerns about equita...

Videomics: bringing deep learning to diagnostic endoscopy.

PURPOSE OF REVIEW: Machine learning (ML) algorithms have augmented human judgment in various fields ...

Machine learning on microbiome research in gastrointestinal cancer.

Gastrointestinal cancer maintains the highest incidence and mortality rate among all cancers globall...

Applying artificial intelligence in the microbiome for gastrointestinal diseases: A review.

For a long time, gut bacteria have been recognized for their important roles in the occurrence and p...

Noninvasive early diagnosis of intestinal diseases based on artificial intelligence in genomics and microbiome.

The maturing development in artificial intelligence (AI) and genomics has propelled the advances in ...

Artificial intelligence and metagenomics in intestinal diseases.

Gut microbiota has been shown to associate with the development of gastrointestinal diseases. In the...

[A Case of Descending Colon and Rectal Cancer with Acute Myeloid Leukemia Performed Robot‒Assisted Hartmann's Procedure].

The case is a 68‒year‒old male, who had been diagnosed with acute myeloid leukemia(AML)prior to rect...

[Preliminary application and efficacy analysis of transumbilical single-incision plus one port robotic total mesorectal excision].

To investigate the feasibility of transumbilical single-incision plus one port (SIPOP) robotic tota...

[Application and progress of artificial intelligence in endoscopic diagnosis of superficial esophageal cancer].

China is a country with high incidence of esophageal cancer. Advanced esophageal cancer not only bri...

Oscillation-Driven Memory Encoding, Maintenance, and Recall in an Entorhinal-Hippocampal Circuit Model.

During the execution of working memory tasks, task-relevant information is processed by local circui...

Will machines decipher colonoscopy quality from endoscopists' notes?

Artificial intelligence in liver disease.

Artificial intelligence (AI) is a branch of computer science that attempts to mimic human intelligen...

Artificial intelligence in precision medicine in hepatology.

The advancement of investigation tools and electronic health records (EHR) enables a paradigm shift ...

Artificial intelligence in prediction of non-alcoholic fatty liver disease and fibrosis.

Artificial intelligence (AI) has become increasingly widespread in our daily lives, including health...

Radiomics and deep learning in liver diseases.

Recently, radiomics and deep learning have gained attention as methods for computerized image analys...