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

Autores da FMUP
Participantes de fora da FMUP
- Mota, Joana
- Almeida, Maria Joao
- Mendes, Francisco
- Martins, Miguel
- Ribeiro, Tiago
- Afonso, Joao
- Cardoso, Pedro
- Cardoso, Helder
- Andrade, Patricia
- Ferreira, Joao
- Mascarenhas, Miguel
Unidades de investigação
Abstract
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.
Dados da publicação
- ISSN/ISSNe:
- 2075-4418, 2075-4418
- Tipo:
- Review
- Páginas:
- -
- Link para outro recurso:
- www.scopus.com
Diagnostics MDPI AG
Documentos
- Não há documentos
Filiações
Keywords
- colon capsule endoscopy; artificial intelligence; convolutional neural network
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Citar a publicação
Mota J,Almeida MJ,Mendes F,Martins M,Ribeiro T,Afonso J,Cardoso P,Cardoso H,Andrade P,Ferreira J,Macedo G,Mascarenhas M. A Comprehensive Review of Artificial Intelligence and Colon Capsule Endoscopy: Opportunities and Challenges. Diagn. 2024. 14(18):2072. IF:3,600. (2).