{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T04:20:23Z","timestamp":1727756423320},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685434","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T00:00:00Z","timestamp":1727222400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,25]]},"abstract":"<jats:p>This paper introduces an AI-based system designed to enhance the efficiency of early polyp detection by reviewing video capsule endoscopy (VCE) studies. This system avoids the repetitive examination of frames within the same sequence. To achieve this, the proposed system employs a re-identification approach to detect frames containing polyps of the same location without additional diagnostic information. The system achieves a precision of 88.08% and a sensitivity of 74.07%, with a low false positive rate of 0.12% in the re-identification task. Furthermore, a simulation using the \u201dsuper expert\u201d metric indicates that our model enhances the detection of polyps by 13.56% in comparison to existing methods. These results demonstrate that the proposed system not only accurately re-identifies polyps but also optimizes the VCE review process by reducing the number of similar images that experts need to examine, thereby enhancing diagnostic efficiency.<\/jats:p>","DOI":"10.3233\/faia240450","type":"book-chapter","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T09:48:44Z","timestamp":1727689724000},"source":"Crossref","is-referenced-by-count":0,"title":["Polyp Re-Identification System for Video Capsule Endoscopy Studies"],"prefix":"10.3233","author":[{"given":"Pablo","family":"Laiz","sequence":"first","affiliation":[{"name":"GI Digital, Inc, New York, USA"}]},{"given":"Hagen","family":"Wenzek","sequence":"additional","affiliation":[{"name":"GI Digital, Inc, New York, USA"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Artificial Intelligence Research and Development"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA240450","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T09:48:44Z","timestamp":1727689724000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA240450"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,25]]},"ISBN":["9781643685434"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia240450","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,25]]}}}