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A Comprehensive Review of Artificial Intelligence and Colon Capsule Endoscopy: Opportunities and Challenges

Title
A Comprehensive Review of Artificial Intelligence and Colon Capsule Endoscopy: Opportunities and Challenges
Type
Another Publication in an International Scientific Journal
Year
2024
Authors
Mota, J
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Almeida, MJ
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Mendes, F
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Martins, M
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Ribeiro, T
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Afonso, J
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Cardoso, P
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Cardoso, H
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Andrade, P
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Ferreira, J
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Macedo G
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Mascarenhas, M
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Journal
Title: DiagnosticsImported from Authenticus Search for Journal Publications
Vol. 14
Final page: 2072
Publisher: MDPI
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em Scopus Scopus - 0 Citations
Other information
Authenticus ID: P-017-4HN
Abstract (EN): Colon capsule endoscopy (CCE) enables a comprehensive, non-invasive, and painless evaluation of the colon, although it still has limited indications. The lengthy reading times hinder its wider implementation, a drawback that could potentially be overcome through the integration of artificial intelligence (AI) models. Studies employing AI, particularly convolutional neural networks (CNNs), demonstrate great promise in using CCE as a viable option for detecting certain diseases and alterations in the colon, compared to other methods like colonoscopy. Additionally, employing AI models in CCE could pave the way for a minimally invasive panenteric or even panendoscopic solution. This review aims to provide a comprehensive summary of the current state-of-the-art of AI in CCE while also addressing the challenges, both technical and ethical, associated with broadening indications for AI-powered CCE. Additionally, it also gives a brief reflection of the potential environmental advantages of using this method compared to alternative ones.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 12
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