Portal de investigação
Artificial Intelligence in Coloproctology: A Review of Emerging Technologies and Clinical Applications
Data de publicação:
Autores da FMUP
Participantes de fora da FMUP
- Mota, Joana
- Almeida, Maria Joao
- Martins, Miguel
- Mendes, Francisco
- Cardoso, Pedro
- Afonso, Joao
- Ribeiro, Tiago
- Ferreira, Joao
- Fonseca, Filipa
- Limbert, Manuel
- Lopes, Susana
- Castro Pocas, Fernando
- Mascarenhas, Miguel
Unidades de investigação
Abstract
Artificial intelligence (AI) has emerged as a transformative tool across several specialties, namely gastroenterology, where it has the potential to optimize both diagnosis and treatment as well as enhance patient care. Coloproctology, due to its highly prevalent pathologies and tremendous potential to cause significant mortality and morbidity, has drawn a lot of attention regarding AI applications. In fact, its application has yielded impressive outcomes in various domains, colonoscopy being one prominent example, where it aids in the detection of polyps and early signs of colorectal cancer with high accuracy and efficiency. With a less explored path but equivalent promise, AI-powered capsule endoscopy ensures accurate and time-efficient video readings, already detecting a wide spectrum of anomalies. High-resolution anoscopy is an area that has been growing in interest in recent years, with efforts being made to integrate AI. There are other areas, such as functional studies, that are currently in the early stages, but evidence is expected to emerge soon. According to the current state of research, AI is anticipated to empower gastroenterologists in the decision-making process, paving the way for a more precise approach to diagnosing and treating patients. This review aims to provide the state-of-the-art use of AI in coloproctology while also reflecting on future directions and perspectives.
Dados da publicação
- ISSN/ISSNe:
- 2077-0383, 2077-0383
- Tipo:
- Review
- Páginas:
- -
- DOI:
- 10.3390/jcm13195842
- Link para outro recurso:
- www.scopus.com
Journal of Clinical Medicine MDPI AG
Documentos
- Não há documentos
Filiações
Keywords
- artificial intelligence; coloproctology; colonoscopy; high-resolution anoscopy; anorectal manometry
Campos de estudo
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Citar a publicação
Mota J,Almeida MJ,Martins M,Mendes F,Cardoso P,Afonso J,Ribeiro T,Ferreira J,Fonseca F,Limbert M,Lopes S,Macedo G,Castro F,Mascarenhas M. Artificial Intelligence in Coloproctology: A Review of Emerging Technologies and Clinical Applications. J. Clin. Med. 2024. 13(19):5842. IF:3,900. (2).
