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

312
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...
312

You might also read

Related Articles

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

Sort by
Same author

Ethical and Legal Implications of Implementing AI in Gastrointestinal Endoscopy.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society·2026
Same author

The Legal and Ethical Framework for Artificial Intelligence in Gastrointestinal Endoscopy: A World Endoscopy Organization International Consensus Statement.

Annals of internal medicine·2025
Same author

Correction: Curriculum for safe and effective use of artificial intelligence in endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement.

Endoscopy·2025
Same author

Curriculum for safe and effective use of artificial intelligence in endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement.

Endoscopy·2025
Same author

Endoscopist deskilling: an unintended consequence of AI-assisted colonoscopy?

The lancet. Gastroenterology & hepatology·2025
Same author

Clinical Implementation of Artificial Intelligence in Gastroenterology: Current Landscape, Regulatory Challenges, and Ethical Issues.

Gastroenterology·2025
Same journal

The central role of primary care in liver health.

The lancet. Gastroenterology & hepatology·2026
Same journal

The role of primary care in response to the global liver disease syndemic: a Lancet Gastroenterology & Hepatology Commission.

The lancet. Gastroenterology & hepatology·2026
Same journal

Dupilumab versus placebo in adults and adolescents with eosinophilic gastritis (DEGAS): a double-blind, placebo-controlled, phase 2, multicentre, randomised controlled trial.

The lancet. Gastroenterology & hepatology·2026
Same journal

Addition of ipilimumab to atezolizumab plus bevacizumab in advanced hepatocellular carcinoma (PRODIGE 81-FFCD 2101-TRIPLET HCC): phase 2 results from a randomised, multicentre, open-label, phase 2-3 trial.

The lancet. Gastroenterology & hepatology·2026
Same journal

Balancing benefit and burden: rethinking post-polypectomy colonoscopy surveillance strategies.

The lancet. Gastroenterology & hepatology·2026
Same journal

HLA-DRB1*01:03 in patients with inflammatory bowel disease: a genotype-phenotype association study.

The lancet. Gastroenterology & hepatology·2026
See all related articles

Related Experiment Video

Updated: Dec 30, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

440

Deep learning for colorectal polyp detection: time for clinical implementation?

Omer F Ahmad1

  • 1Wellcome/EPSRC Centre for Interventional & Surgical Sciences, University College London, London W1W 7TS, UK.

The Lancet. Gastroenterology & Hepatology
|January 26, 2020
PubMed
Summary

No abstract available in PubMed .

More Related Videos

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

2.2K
Structured Approach to Colonoscopy Technique Optimization: A Single-Center Experience with Novice Endoscopists
03:43

Structured Approach to Colonoscopy Technique Optimization: A Single-Center Experience with Novice Endoscopists

Published on: July 11, 2025

523

Related Experiment Videos

Last Updated: Dec 30, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

440
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

2.2K
Structured Approach to Colonoscopy Technique Optimization: A Single-Center Experience with Novice Endoscopists
03:43

Structured Approach to Colonoscopy Technique Optimization: A Single-Center Experience with Novice Endoscopists

Published on: July 11, 2025

523