Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy
Gilabert, Pere (Universitat de Barcelona. Departament de Matemàtiques i Informàtica)
Vitrià i Marca, Jordi (Universitat de Barcelona. Departament de Matemàtiques i Informàtica)
Laiz, Pablo (Universitat de Barcelona. Departament de Matemàtiques i Informàtica)
Malagelada Prats, Carolina (Universitat Autònoma de Barcelona. Departament de Medicina)
Watson, Angus (Department of Colorectal Surgery, Raigmore Hospital, NHS Highland)
Wenzek, Hagen (CorporateHealth International ApS (Dinamarca))
Segui, Santi (Universitat de Barcelona. Departament de Matemàtiques i Informàtica)

Date:	2022
Abstract:	Colon Capsule Endoscopy (CCE) is a minimally invasive procedure which is increasingly being used as an alternative to conventional colonoscopy. Videos recorded by the capsule cameras are long and require one or more experts' time to review and identify polyps or other potential intestinal problems that can lead to major health issues. We developed and tested a multi-platform web application, AI-Tool, which embeds a Convolution Neural Network (CNN) to help CCE reviewers. With the help of artificial intelligence, AI-Tool is able to detect images with high probability of containing a polyp and prioritize them during the reviewing process. With the collaboration of 3 experts that reviewed 18 videos, we compared the classical linear review method using RAPID Reader Software v9. 0 and the new software we present. Applying the new strategy, reviewing time was reduced by a factor of 6 and polyp detection sensitivity was increased from 81. 08 to 87. 80%.
Grants:	Agencia Estatal de Investigación RTI2018-095232-B-C21 Generalitat de Catalunya SGR1742
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Colon capsule endoscopy ; Artificial intelligence ; Screening time ; Polyp detection ; Colorectal cancer prevention
Published in:	Frontiers in Medicine, Vol. 9 (october 2022) , ISSN 2296-858X

DOI: 10.3389/fmed.2022.1000726
PMID: 36314009

8 p, 1.5 MB

The record appears in these collections:
Articles > Research articles
Articles > Published articles