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Review
. 2021;34(3):300-309.
doi: 10.20524/aog.2021.0606. Epub 2021 Feb 26.

Artificial intelligence and capsule endoscopy: unravelling the future

Miguel Mascarenhas  1 , João Afonso  1 , Patrícia Andrade  1 , Hélder Cardoso  1 , Guilherme Macedo  1
Affiliations
Review

Artificial intelligence and capsule endoscopy: unravelling the future

Miguel Mascarenhas et al. Ann Gastroenterol. 2021.

Abstract

The applicability of artificial intelligence (AI) in gastroenterology is a hot topic because of its disruptive nature. Capsule endoscopy plays an important role in several areas of digestive pathology, namely in the investigation of obscure hemorrhagic lesions and the management of inflammatory bowel disease. Therefore, there is growing interest in the use of AI in capsule endoscopy. Several studies have demonstrated the enormous potential of using convolutional neural networks in various areas of capsule endoscopy. The exponential development of the usefulness of AI in capsule endoscopy requires consideration of its medium- and long-term impact on clinical practice. Indeed, the advent of deep learning in the field of capsule endoscopy, with its evolutionary character, could lead to a paradigm shift in clinical activity in this setting. In this review, we aim to illustrate the state of the art of AI in the field of capsule endoscopy.

Keywords: Capsule endoscopy; artificial intelligence; deep learning; gastroenterology; machine learning.

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Conflict of interest statement

Conflict of Interest: None

Figures

Figure 1
Figure 1
Relationship between different levels of artificial intelligence
Figure 2
Figure 2
Similarities between an oversimplified human neural network and a convolutional neural network
See this image and copyright information in PMC

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