Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy

Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy

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...

What is Monogastric Digestion?

What is Monogastric Digestion?

The human body contains a monogastric digestive system. In a monogastric digestive system, the stomach only contains one chamber in which it digests food. Several other animal species also have monogastric digestive systems, including pigs, horses, dogs, and birds. This chapter, however, focuses on the human digestive system.

Assessment of the Gastrointestinal System II: Health Perception Pattern

Assessment of the Gastrointestinal System II: Health Perception Pattern

Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:

Serum Laboratory Studies, Stool Test, Breath Test

Serum Laboratory Studies, Stool Test, Breath Test

Gastrointestinal (GI) diagnostic studies are pivotal in confirming, ruling out, diagnosing, or staging various diseases, including cancers. Following diagnosis, allocating time for discussions with the patient and providing informational resources is crucial. Diagnostic assessments of the GI tract often occur in outpatient settings like endoscopy suites or GI labs. Preparation for these tests may include dietary restrictions, fasting, liquid bowel preparations, laxatives, enemas, and the...

Enteral Nutrition II: Nasointestinal and Gastrostomy Feeding

Enteral Nutrition II: Nasointestinal and Gastrostomy Feeding

Enteral nutrition encompasses various methods of delivering nutrition directly to the gastrointestinal (GI) tract, bypassing traditional oral intake. It is particularly beneficial for patients who cannot eat by mouth but have a functioning digestive system. Key methods include nasointestinal feeding, gastrostomy, and jejunostomy, each suited to different clinical scenarios based on the patient's needs and condition.
Nasointestinal Feeding
Nasointestinal feeding involves placing a tube...

You might also read

Related Articles

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

Sort by

Same author

SOPA and SIMPA: normalized single-sample integrated multiomics pathway analysis of tumor heterogeneity in solid cancers.

Briefings in bioinformatics·2026

Same author

From dysbiosis to malignancy: decoding gut-driven pathways to clinical management in hepatocellular carcinoma.

Frontiers in cellular and infection microbiology·2026

Same author

Safety of Apixaban for Postoperative Venous Thromboembolism Prophylaxis After Bariatric Surgery: A Single-Centre Retrospective Cohort Study.

Obesity surgery·2026

Same author

Efficacy of Fibrin Sealants and Polyglycolic Acid Sheets in Reducing Postoperative Hemorrhage Following Gastric Endoscopic Submucosal Dissection: A Meta-analysis of Randomized and Observational Studies.

Journal of gastrointestinal cancer·2026

Same author

Endoscopic Ultrasound-Guided Gastroenterostomy Versus Surgical Gastrojejunostomy for Malignant Gastric Outlet Obstruction: A Systematic Review and Meta-Analysis.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract·2026

Same author

The Genetic Background in Achalasia: A Systematic Review.

Journal of gastrointestinal and liver diseases : JGLD·2026

Search research articles

Related Experiment Video

Updated: Jun 23, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Artificial intelligence applications in gastroenterology: steps ahead.

Stefan L Popa¹, Abdulrahman Ismaiel¹

¹2 Medical Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.

Medicine and Pharmacy Reports

|June 24, 2024

Summary

This summary is machine-generated.

Artificial intelligence (AI) enhances gastroenterology diagnostics, outperforming human experts in accuracy. Implementing AI in endoscopy and pathology improves patient care and reduces errors.

Keywords:

abdominal ultrasound artificial intelligence automatic diagnosis endoscopy future of medicine gastroenterology

More Related Videos

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Related Experiment Videos

Last Updated: Jun 23, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Area of Science:

Gastroenterology
Medical Imaging
Artificial Intelligence

Background:

AI applications are increasingly utilized in gastroenterology for diagnostic imaging and pathology.
Current diagnostic methods, including endoscopy, have limitations in expert availability and accuracy.

Purpose of the Study:

To explore the role and benefits of AI in gastroenterology diagnostics.
To highlight AI's potential to improve diagnostic accuracy and efficiency.

Main Methods:

Utilizing convolutional neural networks (CNNs) trained on vast datasets of medical images and information.
Applying AI to various gastroenterological procedures like ultrasonography, CT, MRI, endoscopy, and capsule endoscopy.
Leveraging deep learning for automatic digital pathology evaluation.

Main Results:

AI-based systems demonstrate superior accuracy compared to human expertise in diagnostic tasks.
AI can automate repetitive tasks, reduce medical errors, and enhance procedural precision.
The training of CNNs enables AI systems to autonomously perform complex medical tasks.

Conclusions:

AI integration in gastroenterology significantly improves diagnostic accuracy and procedural efficiency.
AI offers a scalable solution to address the limitations of human expert availability.
AI is poised to revolutionize gastroenterological diagnostics and patient management.