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

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 INDICE: Preface Chapter 1: Artificial Intelligence: Machine Learning, Deep Learning and Applications in GI Endoscopy João Afonso, Miguel Martins, João Ferreira and Miguel Mascarenhas Chapter 2: Wireless Capsule Endoscopy: Concept and Modalities Pablo Cortegoso Valdivia and Marco Pennazio Chapter 3: Capsule Endoscopy: Wide Clinical Scope in Adults Pilar Esteban Delgado, Renato Medas, Eunice Trindade, Hélder Cardoso and Enrique Perez-Cuadrado Martinez Chapter 4: The Role of Capsule endoscopy in the Diagnosis and Clinical Management of Obscure Gastrointestinal Bleeding Nayantara Coelho-Prabhu, Shabana Pasha, and Jonathan Leighton Chapter 5: Capsule endoscopy diagnostic and clinical management role in IBD Isabel Garrido, Patrícia Andrade, Susana Lopes, and Guilherme Macedo Chapter 6: Artificial Intelligence for the Automatic Detection of Blood and Hematic Residues Gerardo Blanco Sr., Oscar Mondragon, and Omar Solórzano Chapter 7: Artificial Intelligence in Capsule Endoscopy for Detection of Ulcers and Erosions Shabana F. Pasha and Jean-Cristophe Saurin Chapter 8: Artificial Intelligence for Protruding Lesions Xavier Dray, Alexander Robertson, Santi Segui, and Aymeric Histace Chapter 9: Artificial Intelligence for Vascular Lesions Pere Gilabert, Pablo Laiz and Santi Segui Chapter 10: Artificial Intelligence for Luminal Content Analysis and Miscellaneous Findings Nuno Almeida and Pedro Figueiredo Chapter 11: Small Bowel and Colon Cleansing in Capsule Endoscopy Vítor Macedo Silva, Bruno Rosa, Francisco Mendes, Miguel Mascarenhas, Miguel Mascarenhas Saraiva, and José Cotter Chapter 12: Fostering the Incorporation of Big Data and Artificial Intelligence Applications into Healthcare Systems by Introducing Blockchain Technology into Data Storage Systems Miguel Mascarenhas, André Santos, and Guilherme Macedo Chapter 13: Magnetic Capsule Endoscopy: Concept and AI Application Chen He, Qiwen Wang, Xi Jiang, Bin Jiang, Yang-Yang Qian, Jun Pan, and Zhuan Liao Chapter 14: Non-White Light Endoscopy in Capsule Endoscopy: NBI Catarina Gomes, Emanuel Dias, and Rolando Pinho Chapter 15: Colon Capsule Endoscopy and AI: A Perfect Match for Pan-Endoscopy Tiago Ribeiro, Ignacio Fernandez-Urien, and Hélder Cardoso

• ISBN: 978-0-323-99647-1
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 250
• Fecha Publicación: 01/02/2023
• Nº Volúmenes: 1
• Idioma: Inglés