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

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2024

Autores

Mota, J (Autor) Outra; Almeida, MJ (Autor) Outra; Mendes, F (Autor) Outra; Martins, M (Autor) Outra; Ribeiro, T (Autor) Outra; Afonso, J (Autor) Outra; Cardoso, P (Autor) Outra; Cardoso, H (Autor) Outra; Andrade, P (Autor) Outra; Ferreira, J (Autor) Outra; Macedo G (Autor) FMUP; Mascarenhas, M (Autor) Outra

Revista

Título: Diagnostics

Vol. 14

Página Final: 2072

Editora: MDPI

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-017-4HN

DOI: 10.3390/diagnostics14182072

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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12