Artificial Intelligence in Capsule Endoscopy: A Gamechanger for a Groundbreaking Technique - Softcover

Softcover

ISBN 10: 0323996477 ISBN 13: 9780323996471

Verlag: Academic Press, 2023

Inhaltsangabe

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.

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Über die Autorinnen und Autoren

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.

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.

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.

Von der hinteren Coverseite

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.

Details zur Ausgabe

• Verlag: Academic Press
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 0323996477
• ISBN 13: 9780323996471
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 296
• Herausgeber: Mascarenhas, Cardoso, Macedo
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: eVatmaster Consulting GmbH; 497000000000; contact@evatmaster.com; ; Bettinastr. 30,60325; Frankfurt am Main; 60325; Deutschland