{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T12:11:08Z","timestamp":1790079068533,"version":"4.0.1"},"reference-count":31,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T00:00:00Z","timestamp":1789776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Clin. Med.","JCM"],"abstract":"<jats:p>Objectives: Linked-colour imaging\/blue-laser imaging (LCI\/BLI) and CAD-EYE artificial intelligence have been developed for sporadic colorectal neoplasia, but their role in ulcerative colitis (UC) surveillance remains uncertain. We evaluated CAD-EYE-assisted detection and optical characterization using conventional and disease-specific classifications in UC. Methods: In this prospective tandem study, patients with UC undergoing surveillance colonoscopy were examined sequentially using white-light imaging (WLI), LCI, and LCI with CAD-EYE. Lesions were characterized using BLI with Kudo, NICE, and Kudo-IBD classifications, followed by CAD-EYE characterization. Detection and characterization performance were assessed using miss rates and diagnostic accuracy. Results: Among 82 patients, 281 lesions, including 22 neoplastic lesions, were identified. The lesion miss rate decreased from 5.7% with WLI to 2.5% with LCI, while no lesions were missed during the CAD-EYE-assisted withdrawal. However, the fixed examination sequence and absence of prospectively recorded withdrawal times precluded isolation of CAD-EYE\u2019s incremental contribution. The neoplasia miss rate was numerically lower with CAD-EYE than with WLI and LCI, although not significantly. Kudo-IBD showed the highest diagnostic performance, with sensitivity, specificity, and positive and negative predictive values of 90.9%, 85.3%, 34.5%, and 99.1%, respectively. Accuracy was significantly higher with KUDO-IBD than with all other methods (all p &lt; 0.001). Conclusions: In this sequential protocol, CAD-EYE-assisted imaging was associated with complete observed lesion detection, whereas Kudo-IBD provided superior optical characterization. These findings support complementary AI-assisted detection and disease-specific optical assessment. Larger studies with independent examination sequences and prospectively recorded withdrawal times, together with external validation of Kudo-IBD, are needed.<\/jats:p>","DOI":"10.3390\/jcm15187290","type":"journal-article","created":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T11:09:35Z","timestamp":1790075375000},"page":"7290","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Complementary Roles of Artificial Intelligence and Disease-Specific Optical Diagnosis During Ulcerative Colitis Surveillance: A Prospective Tandem Colonoscopy Study"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5733-048X","authenticated-orcid":false,"given":"Andrea","family":"Cassinotti","sequence":"first","affiliation":[{"name":"Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo e Fondazione Macchi, ASST Sette Laghi, 21100 Varese, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valentina","family":"Zadro","sequence":"additional","affiliation":[{"name":"Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo e Fondazione Macchi, ASST Sette Laghi, 21100 Varese, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matteo","family":"Ferraris","sequence":"additional","affiliation":[{"name":"Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo e Fondazione Macchi, ASST Sette Laghi, 21100 Varese, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Parravicini","sequence":"additional","affiliation":[{"name":"Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo e Fondazione Macchi, ASST Sette Laghi, 21100 Varese, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas P.","family":"Chapman","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, St Richard\u2019s and Worthing Hospitals, University Hospitals Sussex NHS Foundation Trust, West Sussex PO19 6SE, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefano","family":"La Rosa","sequence":"additional","affiliation":[{"name":"Pathology Unit, Department of Medicine and Technological Innovation, University of Insubria, 21100 Varese, Italy"},{"name":"Pathology Unit, Ospedale di Circolo e Fondazione Macchi, ASST Sette Laghi, 21100 Varese, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sergio","family":"Segato","sequence":"additional","affiliation":[{"name":"Gastroenterology and Digestive Endoscopy Unit, Ospedale di Circolo e Fondazione Macchi, ASST Sette Laghi, 21100 Varese, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,9,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1055\/a-1031-7657","article-title":"Advanced imaging for detection and differentiation of colorectal neoplasia. 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