{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T14:25:30Z","timestamp":1793715930453,"version":"4.6.1"},"reference-count":32,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100024075","name":"Region of Southern Denmark","doi-asserted-by":"publisher","award":["16\/9780"],"award-info":[{"award-number":["16\/9780"]}],"id":[{"id":"10.13039\/501100024075","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100024075","name":"Region of Southern Denmark","doi-asserted-by":"publisher","award":["19\/37100"],"award-info":[{"award-number":["19\/37100"]}],"id":[{"id":"10.13039\/501100024075","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Danish Colitis and Crohn\u2019s Association"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background and Aim<\/jats:title>\n                  <jats:p>Pan-enteric capsule endoscopy [PCE] is a highly sensitive but time-consuming tool for detecting pathology. Artificial intelligence [AI] algorithms might offer a possibility to assist in the review and reduce the analysis time of PCE. This study examines the agreement between PCE assessments aided by AI technology and standard evaluations, in patients suspected of Crohn\u2019s disease [CD].<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Method<\/jats:title>\n                  <jats:p>PCEs from a prospective, blinded, multicentre study, including patients suspected of CD, were processed by the deep learning solution AXARO\u00ae [Augmented Endoscopy, Paris, France]. Based on the image output, two observers classified the patient\u2019s PCE as normal or suggestive of CD, ulcerative colitis, or cancer. The primary outcome was per-patient sensitivities and specificities for detecting CD and inflammatory bowel disease [IBD]. Complete reading of PCE served as the reference standard.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>A total of 131 patients\u2019 PCEs were analysed, with a median recording time of 303 min. The AXARO\u00ae framework reduced output to a median of 470 images [2.1%] per patient, and the pooled median review time was 3.2 min per patient. For detecting CD, the observers had a sensitivity of 96% and 92% and a specificity of 93% and 90%, respectively. For the detection of IBD, both observers had a sensitivity of 97% and had a specificity of 91% and 90%, respectively. The negative predictive value was 95% for CD and 97% for IBD.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Using the AXARO\u00ae framework reduced the initial review time substantially while maintaining high diagnostic accuracy\u2014suggesting its use as a rapid tool to rule out IBD in PCEs of patients suspected of Crohn\u2019s disease.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ecco-jcc\/jjad131","type":"journal-article","created":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T12:07:55Z","timestamp":1690891675000},"page":"75-81","source":"Crossref","is-referenced-by-count":56,"title":["Artificial Intelligence-assisted Analysis of Pan-enteric Capsule Endoscopy in Patients with Suspected Crohn\u2019s Disease: A Study on Diagnostic Performance"],"prefix":"10.1093","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2530-7554","authenticated-orcid":false,"given":"Jacob Broder","family":"Brodersen","sequence":"first","affiliation":[{"name":"Department of Internal Medicine, Section of Gastroenterology, Hospital of South West Jutland , Esbjerg , Denmark"},{"name":"Department of Regional Health Research, University of Southern Denmark , Odense , Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael Dam","family":"Jensen","sequence":"additional","affiliation":[{"name":"Department of Regional Health Research, University of Southern Denmark , Odense , Denmark"},{"name":"Department of Internal Medicine, Section of Gastroenterology, Lillebaelt Hospital , Vejle , Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Romain","family":"Leenhardt","sequence":"additional","affiliation":[{"name":"\u00c9quipes Traitement de l\u2019Information et Syst\u00e8mes, ETIS UMR 8051, CY Paris Cergy University, ENSEA, CNRS , Cergy , France"},{"name":"Sorbonne University, Center for Digestive Endoscopy, Saint-Antoine Hospital, APHP , Paris , France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8148-6572","authenticated-orcid":false,"given":"Jens","family":"Kjeldsen","sequence":"additional","affiliation":[{"name":"Department of Medical Gastroenterology, Odense University Hospital , Odense , Denmark"},{"name":"Department of Clinical Research, University of Southern Denmark , Odense , Denmark"},{"name":"OPEN Odense Patient Data Explorative Network, Odense University Hospital , Odense , Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aymeric","family":"Histace","sequence":"additional","affiliation":[{"name":"\u00c9quipes Traitement de l\u2019Information et Syst\u00e8mes, ETIS UMR 8051, CY Paris Cergy University, ENSEA, CNRS , Cergy , 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