Portal de investigação
AI-Driven Colon Cleansing Evaluation in Capsule Endoscopy: A Deep Learning Approach
Data de publicação:
Autores da FMUP
Participantes de fora da FMUP
- Saraiva, MJM
- Afonso, J
- Ribeiro, T
- Cardoso, P
- Mendes, F
- Martins, M
- Andrade, AP
- Cardoso, H
- Saraiva, MM
- Ferreira, J
Unidades de investigação
Abstract
Gastroenterology is increasingly moving towards minimally invasive diagnostic modalities. The diagnostic exploration of the colon via capsule endoscopy, both in specific protocols for colon capsule endoscopy and during panendoscopic evaluations, is increasingly regarded as an appropriate first-line diagnostic approach. Adequate colonic preparation is essential for conclusive examinations as, contrary to a conventional colonoscopy, the capsule moves passively in the colon and does not have the capacity to clean debris. Several scales have been developed for the classification of bowel preparation for colon capsule endoscopy. Nevertheless, their applications are limited by suboptimal interobserver agreement. Our group developed a deep learning algorithm for the automatic classification of colonic bowel preparation, according to an easily applicable classification. Our neural network achieved high performance levels, with a sensitivity of 91%, a specificity of 97% and an overall accuracy of 95%. The algorithm achieved a good discriminating capacity, with areas under the curve ranging between 0.92 and 0.97. The development of these algorithms is essential for the widespread adoption of capsule endoscopy for the exploration of the colon, as well as for the adoption of minimally invasive panendoscopy.
Dados da publicação
- ISSN/ISSNe:
- 2075-4418, 2075-4418
- Tipo:
- Article
- Páginas:
- -
- Link para outro recurso:
- www.scopus.com
Diagnostics MDPI AG
Citações Recebidas na Scopus: 1
Documentos
- Não há documentos
Filiações
Keywords
- capsule endoscopy; colon capsule endoscopy; artificial intelligence; bowel preparation; deep learning
Proyectos asociados
The contribution of endoscopic ultrasound and biomarkers in the management of pancreatic adenocarcinoma and its precursor lesions.
Investigador Principal: Manuel Guilherme Gonçalves Macedo
Estudo Clínico Académico . 2023
Noninvasive serum biomarkers of portal hypertension in liver cirrhosis
Investigador Principal: Manuel Guilherme Gonçalves Macedo
Estudo Clínico Académico . 2023
Otimização do rendimento da colangiopancreatografia retrógrada endoscópica na avaliação das estenoses pancreato-biliares indeterminadas
Investigador Principal: Manuel Guilherme Gonçalves Macedo
Estudo Clínico Académico . 2023
Endoscopic Treatment Of Upper Gastrointestinal Postsurgical Leaks
Investigador Principal: Manuel Guilherme Gonçalves Macedo
Estudo Clínico Académico . 2023
Citar a publicação
Saraiva MJM,Afonso J,Ribeiro T,Cardoso P,Mendes F,Martins M,Andrade AP,Cardoso H,Saraiva MM,Ferreira J,Macedo G. AI-Driven Colon Cleansing Evaluation in Capsule Endoscopy: A Deep Learning Approach. Diagn. 2023. 13. (23):3494. IF:3,600. (2).
