Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy01:26

Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy

142
This lesson explores three gastrointestinal imaging techniques: radionuclide testing, colonic transit studies, and virtual colonoscopy.
Radionuclide Testing
Radionuclide testing is a sophisticated medical technique for assessing gastrointestinal motility. It focuses on gastric emptying and colonic transit time. Radioactive markers track the movement of food through the digestive system, providing insights into gastrointestinal disorders.
In gastric emptying studies, a meal's liquid and...
142
Endoscopic Procedures I: Esophagogastroduodenoscopy01:29

Endoscopic Procedures I: Esophagogastroduodenoscopy

354
An Esophagogastroduodenoscopy (EGD) is a diagnostic procedure in which an endoscopist uses a flexible, lighted endoscope to visualize the upper gastrointestinal (GI) tract. The procedure includes visualizing the oropharynx, esophagus, stomach, and the first part of the small intestine, the duodenum.
During an EGD, the endoscope can be used to:
354
Endoscopic Procedures IV: Sigmoidoscopy and Laproscopy01:26

Endoscopic Procedures IV: Sigmoidoscopy and Laproscopy

175
Sigmoidoscopy and laparoscopy are distinct medical procedures that enable physicians to internally inspect different parts of the GI tract. Although they serve different purposes, each is essential for diagnosing and, in some cases, treating various medical conditions.
Sigmoidoscopy
Sigmoidoscopy is a diagnostic procedure that uses a flexible sigmoidoscope equipped with a light source and camera to examine the rectum and sigmoid colon. The procedure involves inserting the tube through the anus...
175
Endoscopic Procedures II: Colonoscopy01:25

Endoscopic Procedures II: Colonoscopy

191
The colon, or large intestine, is the final segment of the digestive system. Its primary functions include absorbing water and vitamins produced by gut bacteria and transforming waste from liquid to solid to form stool. In adults, the large intestine is approximately 5 feet long and consists of four main sections:
191
Endoscopic Studies I: Bronchoscopy and Thoracoscopy01:30

Endoscopic Studies I: Bronchoscopy and Thoracoscopy

272
Endoscopy is a non-surgical medical technique used to examine a person's internal organs and vessels. This lesson will focus on two types of endoscopic studies: bronchoscopy and thoracoscopy.
Bronchoscopy
Description
Bronchoscopy is a procedure that involves direct visualization of the larynx, trachea, and bronchi for diagnostic and therapeutic purposes. A flexible fiber optic or rigid bronchoscope is used to carry out the procedure. The fiber-optic bronchoscope is more frequently used due...
272
Endoscopic Procedures III: Video Capsule Endoscopy01:28

Endoscopic Procedures III: Video Capsule Endoscopy

331
Capsule endoscopy, or wireless or video capsule endoscopy, is a diagnostic procedure for examining the entire gastrointestinal tract. Patients swallow a capsule about the size of a vitamin tablet. The capsule is equipped with a transmitter, a battery, an LED light source, and a color video camera to capture images throughout the gastrointestinal tract. This procedure is particularly useful for diagnosing conditions such as Crohn's disease, ulcerative colitis, tumors, polyps, ulcers,...
331

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Stereotactic body radiotherapy in early-stage hepatocellular carcinoma: a systematic review and meta-analysis.

ESMO gastrointestinal oncology·2026
Same author

Activity and synchrony patterns obtained by a tracking-by-detection algorithm as potential predictors of tail biting at pen and individual level in pigs.

Animal : an international journal of animal bioscience·2025
Same author

Recommendations for the diagnosis and management of patients with chronic idiopathic diarrhea: Belgian multidisciplinary expert discussion based on a modified Delphi method.

Acta gastro-enterologica Belgica·2025
Same author

Challenges in Implementing Endoscopic Artificial Intelligence: The Impact of Real-World Imaging Conditions on Barrett's Neoplasia Detection.

United European gastroenterology journal·2025
Same author

Advancement of artificial intelligence systems for surveillance endoscopy of Barrett's esophagus.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver·2023
Same author

A deep learning system for detection of early Barrett's neoplasia: a model development and validation study.

The Lancet. Digital health·2023
Same journal

How important is fiber in the Crohn's disease story?

Gastroenterology·2026
Same journal

Reply to "Critical Appraisal of the Integrin αV-YAP-CTGF Axis in Congestive Hepatopathy".

Gastroenterology·2026
Same journal

Critical Appraisal of the Integrin αV-YAP-CTGF Axis in Congestive Hepatopathy.

Gastroenterology·2026
Same journal

A High-Risk Impaction: To Scope or to Stent First?

Gastroenterology·2026
Same journal

Epithelial FOXP3 orchestrates O-glycosylated IL-6 secretion to drive pancreatic fibrocarcinogenesis.

Gastroenterology·2026
Same journal

Reply to "Methodological Considerations on Neonatal Metabolomics and Future Inflammatory Bowel Disease".

Gastroenterology·2026
See all related articles

Related Experiment Video

Updated: Sep 13, 2025

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors
03:05

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors

Published on: February 16, 2024

1.2K

GastroNet-5M: A Multicenter Dataset for Developing Foundation Models in Gastrointestinal Endoscopy.

M R Jong1, T G W Boers2, K N Fockens1

  • 1Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands.

Gastroenterology
|August 1, 2025
PubMed
Summary
This summary is machine-generated.

A new large dataset of endoscopic images, GastroNet-5M, enables foundation models for artificial intelligence (AI) in endoscopy. This improves diagnostic accuracy and reduces data needs for AI development.

Keywords:
Artificial IntelligenceEndoscopyFoundation Models

More Related Videos

Author Spotlight: Generation of and Comparison Between Patient-Derived Gastric Organoids from Different Regions of the Stomach
08:45

Author Spotlight: Generation of and Comparison Between Patient-Derived Gastric Organoids from Different Regions of the Stomach

Published on: January 26, 2024

1.6K
Intraoperative Gastroscopy for Tumor Localization in Laparoscopic Surgery for Gastric Adenocarcinoma
10:31

Intraoperative Gastroscopy for Tumor Localization in Laparoscopic Surgery for Gastric Adenocarcinoma

Published on: August 9, 2016

12.9K

Related Experiment Videos

Last Updated: Sep 13, 2025

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors
03:05

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors

Published on: February 16, 2024

1.2K
Author Spotlight: Generation of and Comparison Between Patient-Derived Gastric Organoids from Different Regions of the Stomach
08:45

Author Spotlight: Generation of and Comparison Between Patient-Derived Gastric Organoids from Different Regions of the Stomach

Published on: January 26, 2024

1.6K
Intraoperative Gastroscopy for Tumor Localization in Laparoscopic Surgery for Gastric Adenocarcinoma
10:31

Intraoperative Gastroscopy for Tumor Localization in Laparoscopic Surgery for Gastric Adenocarcinoma

Published on: August 9, 2016

12.9K

Area of Science:

  • Medical AI
  • Computer Vision in Medicine
  • Gastroenterology Imaging

Background:

  • Deep learning for endoscopy requires large, annotated datasets, which are often scarce and expensive.
  • Foundation models, pre-trained on diverse data, offer a solution but need general endoscopic image datasets.
  • Existing datasets for developing endoscopic foundation models are limited.

Purpose of the Study:

  • Introduce GastroNet-5M, a large-scale dataset of general endoscopic images.
  • Develop and evaluate a foundation model for endoscopic artificial intelligence (AI) applications using GastroNet-5M.
  • Assess the performance of the GastroNet-5M foundation model against existing models.

Main Methods:

  • Compiled GastroNet-5M dataset: 4,820,653 anonymized endoscopic images from 8 hospitals (2012-2020).
  • Utilized self-supervised learning to pretrain a foundation model on GastroNet-5M.
  • Compared the GastroNet-5M foundation model with other models across 17 AI applications, measuring accuracy, data efficiency, and robustness.

Main Results:

  • GastroNet-5M-pretrained models achieved superior accuracy in most classification and segmentation tasks.
  • These models required significantly less application-specific training data.
  • Demonstrated enhanced robustness when encountering data heterogeneity from different endoscope manufacturers.

Conclusions:

  • GastroNet-5M, a dataset of ~5 million endoscopic images, facilitates the development of advanced endoscopic AI.
  • Pretraining with GastroNet-5M enhances diagnostic accuracy, reduces data requirements, and improves AI robustness in clinical settings.
  • The public availability of GastroNet-5M aims to accelerate the development and implementation of endoscopic AI systems.