{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T17:55:41Z","timestamp":1790877341044,"version":"4.1.0"},"reference-count":11,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T00:00:00Z","timestamp":1782950400000},"content-version":"vor","delay-in-days":1,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100016469","name":"Takeda Pharmaceuticals International","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016469","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["UEG Journal"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Histological assessment of mucosal biopsies in patients with ulcerative colitis (UC) can determine the activity and extent of disease and assess response to treatment. However, its widespread adoption is limited by the time required for the advanced GI specialty training to handle and review histopathology digital images, inter\u2010 and intra\u2010observer variability, and cost associated with the interpretation of data. Artificial intelligence, and specifically machine learning\u2012driven medical image processing, have emerged to help standardise and automate histopathologic assessments.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this global study conducted with participation of 38 sites in 19 countries (global roll\u2010out phase), we collected histopathologic slides prepared from biopsy samples from patients with UC to train an AI model to recognise various cell types and assign a disease activity score based on the Nancy histological index (NHI). Results were compared with findings from a previous iteration of the machine learning model (pilot roll\u2010out phase).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In total, 850 tiles were analysed and used for training, validation, and testing. Model quality, assessed using the Nancy metric, improved from 61.50% in the pilot roll\u2010out phase to 74.82% in the current global roll\u2010out phase. Cell detection quality (F1\u2010score metric) also increased from 27.50% (pilot roll\u2010out) to 58.80% (global roll\u2010out).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In this global roll\u2010out, the quality of the AI model was significantly improved for both NHI scores and cell detection. Further development and implementation of the model at the participating international sites continues and may lead to a valuable and scalable tool for the analysis of disease activity in UC.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ueg2.70227","type":"journal-article","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T16:47:50Z","timestamp":1783010870000},"source":"Crossref","is-referenced-by-count":1,"title":["Global Roll\u2010Out and Continued Multi\u2010Site Validation of the Artificial Intelligence Histology Instrument for Qualitative Assessment of Histopathology in Ulcerative Colitis"],"prefix":"10.1002","volume":"14","author":[{"given":"Laurent","family":"Peyrin\u2010Biroulet","sequence":"first","affiliation":[{"name":"Department of Gastroenterology CHRU Nancy INSERM NGERE Universit\u00e9 de Lorraine  Vand\u0153uvre\u2010l\u00e8s\u2010Nancy France"},{"name":"Division of Gastroenterology and Hepatology McGill University Health Centre  Montreal Quebec Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olga","family":"Kubassova","sequence":"additional","affiliation":[{"name":"Image Analysis Group  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jon","family":"Himoff","sequence":"additional","affiliation":[{"name":"Image Analysis Group  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2117-3184","authenticated-orcid":false,"given":"Christopher R.","family":"Weber","sequence":"additional","affiliation":[{"name":"University of Chicago Medicine Inflammatory Bowel Disease Center  Chicago Illinois USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shashi","family":"Adsul","sequence":"additional","affiliation":[{"name":"Takeda  Cambridge Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcelo","family":"Freire","sequence":"additional","affiliation":[{"name":"Takeda  Cambridge Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bader E.","family":"Hussaini","sequence":"additional","affiliation":[{"name":"Takeda  Cambridge Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luc","family":"Biedermann","sequence":"additional","affiliation":[{"name":"University Hospital of Zurich University of Zurich  Zurich Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Viktor H.","family":"Koelzer","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Institute of Medical Genetics and Pathology University Hospital Basel  Basel Switzerland"},{"name":"Computational and Translational Pathology Group Department of Biomedical Engineering University of Basel  Basel Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4740-8209","authenticated-orcid":false,"given":"Brian","family":"Bressler","sequence":"additional","affiliation":[{"name":"University of British Columbia, Medicine  Vancouver British Columbia Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Xiong","sequence":"additional","affiliation":[{"name":"University of British Columbia, Medicine  Vancouver British Columbia Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan H.","family":"Niess","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Institute of Medical Genetics and Pathology University Hospital Basel  Basel Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias S.","family":"Matter","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Institute of Medical Genetics and Pathology University Hospital Basel  Basel Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Uri","family":"Kopylov","sequence":"additional","affiliation":[{"name":"Institute of Pathology, Sheba Medical Center  Ramat Gan Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iris","family":"Barshack","sequence":"additional","affiliation":[{"name":"Institute of Pathology, Sheba Medical Center  Ramat Gan Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7871-6338","authenticated-orcid":false,"given":"Chen","family":"Mayer","sequence":"additional","affiliation":[{"name":"Institute of Pathology, Sheba Medical Center  Ramat Gan Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernando","family":"Magro","sequence":"additional","affiliation":[{"name":"Center for Health Technology and Services Research (CINTESIS@RISE) Faculty of Medicine University of Porto  Porto 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