Artificial Intelligence in Capsule Endoscopy

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Artificial Intelligence in Capsule Endoscopy

A Gamechanger for a Groundbreaking Technique

Editore

Elsevier

Anno

2023

Pagine

296

ISBN

9780323996471

I prezzi indicati possono subire variazioni poiché soggetti all'oscillazione dei cambi delle valute e/o agli aggiornamenti effettuati dagli Editori.

Dettagli Indice Recensioni (0)

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.

Features:

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

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

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