Artificial Intelligence in Capsule Endoscopy: A Gamechanger for a Groundbreaking Technique highlights the importance of Artificial Intelligence (AI) application in capsule endoscopy. AI will have a key role in the mid/long-term for gastrointestinal endoscopy and capsule endoscopy. This field is a prime area for the use of AI tools with over 50, 000 images per endoscopy capsule video, making video analysis a time and resource consuming task and prone to error. With the application of AI image analysis tools (primarily Convolutional Neural Networks) we can decrease capsule endoscopy video reading time and resources and greatly benefit diagnostic accuracy and patient outcomes.

In 15 chapters, this important reference provides a global and comprehensive perspective from the background information of AI, machine learning, deep learning and their implications in GI endoscopy. It showcases AI practical use in lesion detection and in relevant clinical indications (like obscure gastrointestinal bleeding and inflammatory bowel disease), and points to future applications of AI within the field.

Provides the current and developing practical application of AI tools in capsule endoscopy
Explains the disruptive nature of AI tools in capsule endoscopy video analysis to provide a better perspective on how AI will change the landscape of capsule endoscopy practice in the future
Includes specific lesion detection, delivering key summaries and practical applications regarding AI tools use
Bridges theorical foundations and practical utility of AI in capsule endoscopy

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Yes, you can access Artificial Intelligence in Capsule Endoscopy by Miguel Mascarenhas,Hélder Cardoso,Guilherme Macedo in PDF and/or ePUB format, as well as other popular books in Biowissenschaften & Biologie. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2023

ISBN

9780323996488

Topic

Biowissenschaften

Subtopic

Biologie

Cover Image
Title page
Table of Contents
Copyright
List of contributors
Preface
Acknowledgments
Chapter 1. Artificial intelligence: machine learning, deep learning, and applications in gastrointestinal endoscopy
Chapter 2. Wireless capsule endoscopy: concept and modalities
Chapter 3. Capsule endoscopy: wide clinical scope
Chapter 4. The role of capsule endoscopy in diagnosis and clinical management of obscure gastrointestinal bleeding
Chapter 5. The role of capsule endoscopy in diagnosis and clinical management of inflammatory bowel disease
Chapter 6. Artificial intelligence for automatic detection of blood and hematic residues
Chapter 7. Artificial intelligence in capsule endoscopy for detection of ulcers and erosions
Chapter 8. Artificial intelligence for protruding lesions
Chapter 9. Artificial intelligence for vascular lesions
Chapter 10. Artificial intelligence for luminal content analysis and miscellaneous findings
Chapter 11. Small bowel and colon cleansing in capsule endoscopy
Chapter 12. Introducing blockchain technology in data storage to foster big data and artificial intelligence applications in healthcare systems
Chapter 13. Magnetic capsule endoscopy: concept and application of artificial intelligence
Chapter 14. Nonwhite light endoscopy in capsule endoscopy: Fujinon Intelligent Chromo Endoscopy and blue mode
Chapter 15. Colon capsule endoscopy and artificial intelligence: a perfect match for panendoscopy
Index