{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T18:57:29Z","timestamp":1774637849993,"version":"3.50.1"},"reference-count":12,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"8","license":[{"start":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T00:00:00Z","timestamp":1658275200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":["Clin Transl Gastroenterol","Clinical and Translational Gastroenterology"],"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:sec>\n            <jats:title>INTRODUCTION:<\/jats:title>\n            <jats:p>Device-assisted enteroscopy (DAE) plays a major role in the investigation and endoscopic treatment of small bowel diseases. Recently, the implementation of artificial intelligence (AI) algorithms to gastroenterology has been the focus of great interest. Our aim was to develop an AI model for the automatic detection of protruding lesions in DAE images.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>METHODS:<\/jats:title>\n            <jats:p>A deep learning algorithm based on a convolutional neural network was designed. Each frame was evaluated for the presence of enteric protruding lesions. The area under the curve, sensitivity, specificity, and positive and negative predictive values were used to assess the performance of the convolutional neural network.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>RESULTS:<\/jats:title>\n            <jats:p>A total of 7,925 images from 72 patients were included. Our model had a sensitivity and specificity of 97.0% and 97.4%, respectively. The area under the curve was 1.00.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>DISCUSSION:<\/jats:title>\n            <jats:p>Our model was able to efficiently detect enteric protruding lesions. The development of AI tools may enhance the diagnostic capacity of deep enteroscopy techniques.<\/jats:p>\n          <\/jats:sec>","DOI":"10.14309\/ctg.0000000000000514","type":"journal-article","created":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T13:00:06Z","timestamp":1656334806000},"page":"e00514","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":20,"title":["Artificial Intelligence and Device-Assisted Enteroscopy: Automatic Detection of Enteric Protruding Lesions Using a Convolutional Neural Network"],"prefix":"10.14309","volume":"13","author":[{"given":"Pedro","family":"Cardoso","sequence":"first","affiliation":[{"name":"Department of Gastroenterology, S\u00e3o Jo\u00e3o University Hospital, Alameda Professor Hern\u00e2ni Monteiro, 4200-427, Porto, Portugal;"},{"name":"WGO Gastroenterology and Hepatology Training Center, Porto, Portugal;"}]},{"given":"Miguel Mascarenhas","family":"Saraiva","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, S\u00e3o Jo\u00e3o University Hospital, Alameda Professor Hern\u00e2ni Monteiro, 4200-427, Porto, Portugal;"},{"name":"WGO Gastroenterology and Hepatology Training Center, Porto, Portugal;"},{"name":"Faculty of Medicine of the University of Porto, Alameda Professor Hern\u00e2ni Monteiro, Porto, Portugal;"}]},{"given":"Jo\u00e3o","family":"Afonso","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, S\u00e3o Jo\u00e3o University Hospital, Alameda Professor Hern\u00e2ni Monteiro, 4200-427, Porto, Portugal;"},{"name":"WGO Gastroenterology and Hepatology Training Center, Porto, Portugal;"}]},{"given":"Tiago","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, S\u00e3o Jo\u00e3o University Hospital, Alameda Professor Hern\u00e2ni Monteiro, 4200-427, Porto, Portugal;"},{"name":"WGO Gastroenterology and Hepatology Training Center, Porto, Portugal;"}]},{"given":"Patr\u00edcia","family":"Andrade","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, S\u00e3o Jo\u00e3o University Hospital, Alameda Professor Hern\u00e2ni Monteiro, 4200-427, Porto, Portugal;"},{"name":"WGO Gastroenterology and Hepatology Training Center, Porto, Portugal;"},{"name":"Faculty of Medicine of the University of Porto, Alameda Professor Hern\u00e2ni Monteiro, Porto, Portugal;"}]},{"given":"Jo\u00e3o","family":"Ferreira","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Faculty of Engineering of the University of Porto, Rua Dr. Roberto Frias, Porto, Portugal;"},{"name":"INEGI - Institute of Science and Innovation in Mechanical and Industrial Engineering, Rua Dr. Roberto Frias, Porto, Portugal."}]},{"given":"H\u00e9lder","family":"Cardoso","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, S\u00e3o Jo\u00e3o University Hospital, Alameda Professor Hern\u00e2ni Monteiro, 4200-427, Porto, Portugal;"},{"name":"WGO Gastroenterology and Hepatology Training Center, Porto, Portugal;"},{"name":"Faculty of Medicine of the University of Porto, Alameda Professor Hern\u00e2ni Monteiro, Porto, Portugal;"}]},{"given":"Guilherme","family":"Macedo","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, S\u00e3o Jo\u00e3o University Hospital, Alameda Professor Hern\u00e2ni Monteiro, 4200-427, Porto, Portugal;"},{"name":"WGO Gastroenterology and Hepatology Training Center, Porto, Portugal;"},{"name":"Faculty of Medicine of the University of Porto, Alameda Professor Hern\u00e2ni Monteiro, Porto, Portugal;"}]}],"member":"276","published-online":{"date-parts":[[2022,7,20]]},"reference":[{"key":"R1-20250505","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.giec.2016.08.005","article-title":"Neoplastic diseases of the small 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