{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T11:42:31Z","timestamp":1776080551009,"version":"3.50.1"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"S6","license":[{"start":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T00:00:00Z","timestamp":1668729600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T00:00:00Z","timestamp":1668729600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100009886","name":"Regione Puglia","doi-asserted-by":"publisher","award":["POR Puglia FESR-FSE 2014-2020 Innonetwork"],"award-info":[{"award-number":["POR Puglia FESR-FSE 2014-2020 Innonetwork"]}],"id":[{"id":"10.13039\/501100009886","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Inform Decis Mak"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>The SI-CURA project (<jats:italic>Soluzioni Innovative per la gestione del paziente e il follow up terapeutico della Colite UlceRosA<\/jats:italic>) is an Italian initiative aimed at the development of artificial intelligence solutions to discriminate pathologies of different nature, including inflammatory bowel disease (IBD), namely Ulcerative Colitis (UC) and Crohn\u2019s disease (CD), based on endoscopic imaging of patients (P) and healthy controls (N).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>In this study we develop a deep learning (DL) prototype to identify disease patterns through three binary classification tasks, namely (1) discriminating positive (pathological) samples from negative (healthy) samples (P vs N); (2) discrimination between Ulcerative Colitis and Crohn\u2019s Disease samples (UC vs CD) and, (3) discrimination between Ulcerative Colitis and negative (healthy) samples (UC vs N).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The model derived from our approach achieves a high performance of Matthews correlation coefficient (MCC) &gt;\u00a00.9 on the test set for <jats:italic>P versus N<\/jats:italic> and <jats:italic>UC versus N<\/jats:italic>, and MCC\u00a0&gt;\u00a00.6 on the test set for <jats:italic>UC versus CD<\/jats:italic>.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Our DL model effectively discriminates between pathological and negative samples, as well as between IBD subgroups, providing further evidence of its potential as a decision support tool for endoscopy-based diagnosis.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12911-022-02043-w","type":"journal-article","created":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T15:04:37Z","timestamp":1668783877000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Automatically detecting Crohn\u2019s disease and Ulcerative Colitis from endoscopic imaging"],"prefix":"10.1186","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9791-9301","authenticated-orcid":false,"given":"Marco","family":"Chierici","sequence":"first","affiliation":[]},{"given":"Nicolae","family":"Puica","sequence":"additional","affiliation":[]},{"given":"Matteo","family":"Pozzi","sequence":"additional","affiliation":[]},{"given":"Antonello","family":"Capistrano","sequence":"additional","affiliation":[]},{"given":"Marcello Dorian","family":"Donzella","sequence":"additional","affiliation":[]},{"given":"Antonio","family":"Colangelo","sequence":"additional","affiliation":[]},{"given":"Venet","family":"Osmani","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Jurman","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,18]]},"reference":[{"key":"2043_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1177\/1756284819865153","volume":"12","author":"L Negreanu","year":"2019","unstructured":"Negreanu L, Voiosu T, State M, Voiosu A, Bengus A, Mateescu BR. 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