Artificial Intelligence in Capsule Endoscopy
A Gamechanger for a Groundbreaking Technique
- 1st Edition - February 9, 2023
- Imprint: Academic Press
- Editors: Miguel Mascarenhas, Hélder Cardoso, Guilherme Macedo
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 6 4 7 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 6 4 8 - 8
Artificial Intelligence in Capsule Endoscopy: A Gamechanger for a Groundbreaking Technique highlights the importance of Artificial Intelligence (AI) application in capsule e… Read more
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Request a sales quoteArtificial 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
Gastroenterologists, Endoscopists, and GI surgeons, Data scientists, Engineers, Medical doctors/students with interest in practical applications of AI
- 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
- Abstract
- Definition of artificial intelligence
- Machine learning versus deep learning
- Examples of artificial intelligence applicability
- Online experience
- Robotics
- Vehicles
- Fake news detection and cybersecurity
- Artificial intelligence in healthcare as a facilitating technology
- Artificial intelligence in medicine
- Capsule endoscopy: a brief introduction
- References
- Chapter 2. Wireless capsule endoscopy: concept and modalities
- Abstract
- Background
- Types of capsules
- Indications
- Future perspectives
- References
- Chapter 3. Capsule endoscopy: wide clinical scope
- Abstract
- Body
- Indications in capsule endoscopy
- Capsule endoscopy clinical scope in pediatrics
- Limitations of endoscopic capsule
- Conclusions
- References
- Chapter 4. The role of capsule endoscopy in diagnosis and clinical management of obscure gastrointestinal bleeding
- Abstract
- Introduction
- Suspected small bowel bleeding
- Timing of capsule endoscopy
- Contraindications and complications of capsule endoscopy
- Advanced technologies in capsules
- Artificial intelligence in capsule endoscopy
- References
- Chapter 5. The role of capsule endoscopy in diagnosis and clinical management of inflammatory bowel disease
- Abstract
- Introduction
- Crohn’s disease
- Ulcerative colitis
- Capsule endoscopy in suspected Crohn’s disease
- Capsule endoscopy in patients with established Crohn’s disease
- Assessment of postoperative recurrence
- Role of capsule endoscopy in reclassification of inflammatory bowel disease
- Colon capsule endoscopy
- Colon capsule endoscopy in Crohn’s disease
- Colon capsule endoscopy in ulcerative colitis
- Cost-effectiveness of colon capsule endoscopy in inflammatory bowel disease
- Complications of capsule endoscopy
- New research areas for future
- Conclusion
- References
- Chapter 6. Artificial intelligence for automatic detection of blood and hematic residues
- Abstract
- Artificial intelligence
- Support vector machines
- Artificial neural network
- Convolutional neural network
- Recent outcomes of artificial intelligence in detecting active bleeding and hematic residues
- Acknowledgments
- References
- Chapter 7. Artificial intelligence in capsule endoscopy for detection of ulcers and erosions
- Abstract
- Introduction
- Capsule endoscopes and current challenges
- Capsule endoscopy scoring systems for small bowel inflammation
- Capsule endoscopy software enhancements to improve detection of inflammatory lesions
- Artificial intelligence and its application in capsule endoscopy
- Artificial intelligence for detection of small bowel ulcerations and erosions
- Automatic detection of ulcers and erosions
- Grading of ulcers and erosions severity
- Artificial intelligence in next-generation capsule endoscopes
- Conclusions
- References
- Further reading
- Chapter 8. Artificial intelligence for protruding lesions
- Abstract
- Introduction
- State-of-the-art technological aspects
- State-of-the-art clinical aspects
- Perspectives on challenges and developments
- Conclusion
- Conflict of interest
- References
- Chapter 9. Artificial intelligence for vascular lesions
- Abstract
- Introduction
- Wireless capsule endoscopy and artificial intelligence
- Datasets
- Artificial intelligence methods for vascular lesions
- Conclusions
- References
- Chapter 10. Artificial intelligence for luminal content analysis and miscellaneous findings
- Abstract
- Introduction
- Small bowel preparation and luminal content
- Lymphangiectasia and other miscellaneous findings
- Hookworms and foreign bodies
- Discussion and conclusions
- Acknowledgments
- Disclosures/transparency declaration
- References
- Chapter 11. Small bowel and colon cleansing in capsule endoscopy
- Abstract
- Introduction
- Small bowel capsule endoscopy preparation
- Colon capsule endoscopy preparation
- Small bowel capsule endoscopy cleansing quality evaluation
- Colon capsule endoscopy cleansing quality evaluation
- Final remarks
- References
- Chapter 12. Introducing blockchain technology in data storage to foster big data and artificial intelligence applications in healthcare systems
- Abstract
- Introduction
- A brief picture of present-day medical challenges
- Emergence of blockchain in healthcare
- Growing field of artificial intelligence applied to capsule endoscopy
- Limitations and challenges to applications of blockchain in healthcare
- Advantages of using blockchain in capsule endoscopy: how it can be enhanced with artificial intelligence tools
- Concluding remarks
- Acknowledgments
- Conflicts of interest
- References
- Chapter 13. Magnetic capsule endoscopy: concept and application of artificial intelligence
- Abstract
- Types of magnetic capsule endoscopy and their feasibility
- Operation procedure, indications, and contradictions of magnetic capsule endoscopy
- Overview of artificial intelligence and its integration into gastrointestinal practice
- Current artificial intelligence applications in magnetic capsule endoscopy
- Prospects of artificial intelligence in magnetic capsule endoscopy
- References
- Chapter 14. Nonwhite light endoscopy in capsule endoscopy: Fujinon Intelligent Chromo Endoscopy and blue mode
- Abstract
- Background
- White light
- Virtual chromoendoscopy in capsule endoscopy
- Evidence of virtual chromoendoscopy in capsule endoscopy
- Conclusion
- References
- Chapter 15. Colon capsule endoscopy and artificial intelligence: a perfect match for panendoscopy
- Abstract
- Introduction
- Indications for colon capsule endoscopy/panendoscopy
- Limitations of colon capsule endoscopy
- Impact of artificial intelligence
- Future directions
- Conclusion
- References
- Index
- Edition: 1
- Published: February 9, 2023
- Imprint: Academic Press
- No. of pages: 296
- Language: English
- Paperback ISBN: 9780323996471
- eBook ISBN: 9780323996488
MM
Miguel Mascarenhas
Dr. Mascarenhas MD, MDc is a gastroenterologist with special interest in capsule endoscopy. He is the developer of neural networks regarding capsule endoscopy, crohn’s capsule endoscopy and colon capsule endoscopy. He provides a fresh and bold perspective on the potential of AI in gastrointestinal endoscopy and has developed 3 patent pending technologies in collaboration with the University of Porto regarding capsule endoscopy, colon capsule endoscopy and crohn’s capsule endoscopy. He is the winner of International and National awards (ECCO 2021, RICE 2021, DDW 2021), with works on AI technologies developed for capsule endoscopy and cholangioscopy.
Affiliations and expertise
Centro Hospitalar de Sao Joao, University of Porto, Porto, PortugalHC
Hélder Cardoso
Dr. Cardoso MD, PhD has participated in over 30 prospective studies of clinical research as principal investigator and coinvestigator. He is currently the Portuguese National Coordinator Investigator of a phase 2 trial with mRNA therapy for metabolic liver disease. In 2006, he won the National Award of Gastroenterology from SPG with a research in infliximab treatment for Crohn’s Disease. In 2013, he won the Research Grant from APEF/Roche for molecular investigation of HCC. Recently, he participated in research concerning the applicability of Artificial Intelligence in Medicine, namely in digestive endoscopy.
Affiliations and expertise
Faculty of Medicine, University of Porto, Porto, Portugal; Gastroenterology Department, Centro Hospitalar Universitário de São João, Porto, Portugal; World Gastroenterology Organization Porto Training Center, Porto, PortugalGM
Guilherme Macedo
Dr. Macedo MD, PhD, FACG, FASGE, AGAF, FEBOGH, FAASLD is the Head of the Gastroenterology Department in Centro Hospitalar Universitario São Joao Porto, Invited Full Professor of Gastroenterology at the Faculty of Medicine and Director of Porto WGO Gastroenterology and Hepatology Training Center. After becoming Fellow in 1999, he was the Governor for Portugal of the American College of Gastroenterology from 2007-2013 and International Region Councilor in 2012-2013 serving in ACG International Committee since 2009. In 2015 the American College of Gastroenterology awarded him with the International Leadership Award in Gastroenterology. He belongs to the Governing Council and Executive Board of the World Gastroenterology Organization (WGO) and its Train The Trainers Committee, participating and fostering several initiatives in its Educational Program. Currently he is the President Elect of WGO, Chair of the WGO Foundation and President of the Portuguese Society of Gastroenterology. He has published more than 350 articles in peer-reviewed journals and received 25 national honors and awards in the field of Gastroenterology, Endoscopy and Hepatology.
Affiliations and expertise
Faculty of Medicine, University of Porto, Porto, Portugal; Gastroenterology Department, Centro Hospitalar Universitário de São João, Porto, Portugal; President of the World Gastroenterology OrganizationRead Artificial Intelligence in Capsule Endoscopy on ScienceDirect