Gastroenterology

How can endoscopists adapt and collaborate with artificial intelligence for early gastric cancer detection?

Finding undiagnosed patients with hepatitis C infection: an application of artificial intelligence to patient claims data.

Hepatitis C virus (HCV) remains a significant public health challenge with approximately half of the...

Artificial intelligence for the detection of esophageal and esophagogastric junctional adenocarcinoma.

BACKGROUND AND AIM: Conventional endoscopy for the early detection of esophageal and esophagogastric...

Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer.

The biological complexity reflected in histology images requires advanced approaches for unbiased pr...

Automatic task recognition in a flexible endoscopy benchtop trainer with semi-supervised learning.

PURPOSE: Inexpensive benchtop training systems offer significant advantages to meet the increasing d...

Robot-assisted combined pancreatectomy/hepatectomy for metastatic pancreatic acinar cell carcinoma: case report and review of the literature.

Acinar cell carcinoma (ACC) of the pancreas is a rare neoplasm with less aggressive behavior than du...

What is the optimal surveillance strategy for non-dysplastic Barrett's esophagus?

PURPOSE OF REVIEW: There is conflicting data on the effectiveness of the currently recommended endos...

A machine learning-based prognostic predictor for stage III colon cancer.

Limited biomarkers have been identified as prognostic predictors for stage III colon cancer. To comb...

Automatic segmentation of pelvic organs-at-risk using a fusion network model based on limited training samples.

Efficient and accurate methods are needed to automatically segmenting organs-at-risk (OAR) to accel...

Artificial Neural Network (ANN) Approach to Predict an Optimized pH-Dependent Mesalamine Matrix Tablet.

BACKGROUND: Severe bleeding and perforation of the colon and rectum are complications of ulcerative ...

SoGut: A Soft Robotic Gastric Simulator.

The human stomach breaks down and transports food by coordinated radial contractions of the gastric ...

Position statement on priorities for artificial intelligence in GI endoscopy: a report by the ASGE Task Force.

Artificial intelligence (AI) in GI endoscopy holds tremendous promise to augment clinical performanc...

Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health ...

[Robot-Assisted Repeated Fundoplication in Children and Adolescents].

BACKGROUND: Recurrent gastroesophageal reflux symptoms in adolescents and young adults who underwent...

History of artificial intelligence in medicine.

Artificial intelligence (AI) was first described in 1950; however, several limitations in early mode...

Accuracy of artificial intelligence-assisted detection of upper GI lesions: a systematic review and meta-analysis.

BACKGROUND AND AIMS: Artificial intelligence (AI)-assisted detection is increasingly used in upper e...

Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study.

BACKGROUND AND AIMS: Up to 30% of adenomas might be missed during screening colonoscopy-these could ...

Utilizing artificial intelligence in endoscopy: a clinician's guide.

INTRODUCTION: Artificial intelligence (AI) that surpasses human ability in image recognition is expe...

A Support Vector Machine Model Predicting the Risk of Duodenal Cancer in Patients with Familial Adenomatous Polyposis at the Transcript Levels.

OBJECTIVE: Familial adenomatous polyposis (FAP) is one major type of inherited duodenal cancer. The ...

Development of a QSAR model to predict hepatic steatosis using freely available machine learning tools.

There are various types of hepatic steatosis of which non-alcoholic fatty liver disease, which may b...

Development and evaluation of a novel protective device for upper gastrointestinal endoscopy in the COVID-19 pandemic: the EBOX.

BACKGROUND: During the COVID-19 pandemic, aerosol-generating procedures such as upper gastrointestin...