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Related Concept Videos

Endoscopic Procedures III: Video Capsule Endoscopy01:28

Endoscopic Procedures III: Video Capsule Endoscopy

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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,...
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This lesson explores three gastrointestinal imaging techniques: radionuclide testing, colonic transit studies, and virtual colonoscopy.
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Endoscopic Procedures I: Esophagogastroduodenoscopy01:29

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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.
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Endoscopic Procedures IV: Sigmoidoscopy and Laproscopy01:26

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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.
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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...
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Endoscopic Procedures II: Colonoscopy01:25

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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:
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Endoscopic Procedures V: ERCP01:26

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Endoscopic Retrograde Cholangiopancreatography (ERCP) is a diagnostic procedure that combines endoscopy and fluoroscopy to diagnose and treat conditions related to the bile ducts, pancreatic ducts, and gallbladder. This procedure is beneficial for identifying and addressing blockages, gallstones, strictures, and tumors within the biliary or pancreatic systems. ERCP is both diagnostic and therapeutic, offering the ability to visualize and treat identified problems in one session.
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Related Experiment Video

Updated: Nov 21, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Artificial intelligence in upper GI endoscopy - current status, challenges and future promise.

Honggang Yu1, Rajvinder Singh2, Seon Ho Shin2

  • 1Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.

Journal of Gastroenterology and Hepatology
|January 15, 2021
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) aids in detecting upper gastrointestinal (GI) neoplasia, addressing challenges in white-light endoscopy. Further research requires large, high-quality datasets for improved AI accuracy in diagnosing GI cancers.

Keywords:
EndoscopyEsophagusStomachUpper GI

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Area of Science:

  • Gastroenterology and Artificial Intelligence
  • Medical Imaging and Diagnostics

Background:

  • White-light endoscopy with biopsy is the standard for upper gastrointestinal (GI) pathology detection.
  • Missed lesions and interobserver variability remain significant challenges in current endoscopic practices.
  • Artificial intelligence (AI) is emerging as a tool to assist endoscopists, potentially improving diagnostic accuracy.

Purpose of the Study:

  • To review the latest studies on AI applications in upper GI endoscopy.
  • To discuss current challenges hindering AI development and implementation in this field.
  • To predict future trends and advancements in AI-assisted upper GI diagnostics.

Main Methods:

  • Review of recent scientific literature on AI in upper GI endoscopy.
  • Analysis of current AI pilot studies, focusing on their scale and limitations.
  • Discussion of data requirements, including the need for large, well-annotated datasets.

Main Results:

  • Current AI studies in upper GI endoscopy are predominantly small pilot studies.
  • A significant lack of large-volume, high-quality, annotated datasets for gastric cancer, Barrett's esophagus dysplasia, and esophageal squamous cell cancer exists.
  • AI shows promise in assisting endoscopists but faces hurdles related to data availability and study scale.

Conclusions:

  • AI holds potential to enhance the detection and diagnosis of upper GI neoplasia, overcoming limitations of traditional endoscopy.
  • Addressing the scarcity of robust datasets is critical for advancing AI in upper GI endoscopy.
  • Future research should focus on developing and validating AI algorithms using comprehensive datasets to improve clinical outcomes.