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Endoscopic Procedures III: Video Capsule Endoscopy01:28

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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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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 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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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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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Artificial intelligence and capsule endoscopy: unravelling the future.

Miguel Mascarenhas1, João Afonso1, Patrícia Andrade1

  • 1Gastroenterology Department, Hospital de São João, Porto, Portugal.

Annals of Gastroenterology
|May 5, 2021
PubMed
Summary

Artificial intelligence (AI) is revolutionizing capsule endoscopy in gastroenterology. This review explores the current state and future impact of AI, particularly deep learning, on digestive pathology diagnostics and patient management.

Keywords:
Capsule endoscopyartificial intelligencedeep learninggastroenterologymachine learning

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Area of Science:

  • Gastroenterology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Capsule endoscopy is crucial for diagnosing digestive pathologies like obscure bleeding and inflammatory bowel disease.
  • Artificial intelligence (AI) shows significant potential to enhance capsule endoscopy.
  • Convolutional neural networks (CNNs) have demonstrated promise in various capsule endoscopy applications.

Purpose of the Study:

  • To review the current applications and advancements of AI in capsule endoscopy.
  • To discuss the potential impact of AI on clinical practice in gastroenterology.
  • To highlight the role of deep learning in transforming capsule endoscopy.

Main Methods:

  • Literature review of studies on AI in capsule endoscopy.
  • Analysis of convolutional neural networks and deep learning applications.
  • Synthesis of current research findings and future projections.

Main Results:

  • AI, especially CNNs, has shown significant potential in analyzing capsule endoscopy images.
  • Deep learning models are evolving, suggesting a paradigm shift in diagnostic capabilities.
  • The integration of AI is expected to improve the efficiency and accuracy of capsule endoscopy.

Conclusions:

  • AI is poised to significantly advance capsule endoscopy in gastroenterology.
  • The continued development of AI promises to reshape diagnostic and management strategies.
  • Further research is needed to fully realize the clinical utility of AI in capsule endoscopy.