{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T15:09:44Z","timestamp":1790867384747,"version":"4.1.0"},"reference-count":25,"publisher":"Georg Thieme Verlag KG","issue":"03","license":[{"start":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T00:00:00Z","timestamp":1757894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Orlando Health Department for Strategy and Innovations","award":["24.015.01"],"award-info":[{"award-number":["24.015.01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Endoscopy"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Endoscopic ultrasonography (EUS) is the most sensitive modality for accurately establishing a tissue diagnosis in patients with solid pancreatic masses. However, small lesions can be challenging to detect, particularly for less experienced endosonographers. Therefore, outcomes of EUS are operator dependent. We validated the performance of novel artificial intelligence (AI)-enhanced EUS for detection of solid pancreatic lesions.<\/jats:p>\n                  <jats:p>In this single-center, prospective, nonrandomized, comparative study, high-risk patients aged \u226518 years referred for pancreatic cancer screening or with suspected (solid and cystic) pancreatic lesions owing to symptoms, radiological, or laboratory findings were evaluated in real time using AI-EUS software. The model included 32 713 EUS frames (training\/testing phases) of normal, solid, and &gt;10-mm cystic pancreatic lesions from 202 patients. Clinical validation was conducted prospectively when EUS findings were evaluated concurrently in real time by two independent expert examiners, one using conventional EUS and another with AI-EUS, both blinded to the alternative assessments. The primary outcome was detection of solid pancreatic masses.<\/jats:p>\n                  <jats:p>308 patients were evaluated (January\u2013July 2024). AI-EUS performance was not significantly different to that of conventional EUS performed by experts (97.1% vs. 100%; risk difference 2.9%, 95%CI \u20131.2 to 6.8; P = 0.25). Final pathology of 105 pancreatic solid masses revealed neoplasia in 93 (88.6%) and benign lesions in 12 (11.4%).<\/jats:p>\n                  <jats:p>The performance of AI-EUS was not significantly different to that of experienced endosonographers for detection and segmentation of solid pancreatic masses. By standardizing performance, AI-EUS may have the potential to optimize clinical outcomes in pancreatic cancer.<\/jats:p>","DOI":"10.1055\/a-2701-6530","type":"journal-article","created":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T22:49:18Z","timestamp":1757976558000},"page":"223-232","source":"Crossref","is-referenced-by-count":10,"title":["Prospective clinical validation of a novel artificial intelligence system for real-time detection of solid pancreatic masses during endoscopic ultrasonography"],"prefix":"10.1055","volume":"58","clinical-trial-number":[{"clinical-trial-number":"nct06564571","registry":"10.18810\/clinical-trials-gov"}],"author":[{"given":"Ji Young","family":"Bang","sequence":"additional","affiliation":[{"name":"Digestive Health Institute, Orlando Health, Orlando, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7993-8269","authenticated-orcid":false,"given":"Adrian","family":"S\u0103ftoiu","sequence":"additional","affiliation":[{"name":"Medical Softverse SRL, Craiova, Romania"},{"name":"Elias Emergency University Hospital, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anca","family":"Udri\u0219toiu","sequence":"additional","affiliation":[{"name":"Faculty of Automation, Computers and Electronics, University of Craiova, Craiova, Romania"},{"name":"Medical Softverse SRL, Craiova, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucian","family":"Gruionu","sequence":"additional","affiliation":[{"name":"Faculty of Mechanics, University of Craiova, Craiova, Romania"},{"name":"Medical Softverse SRL, Craiova, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elena","family":"Codru\u0163a Gheorghe","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Medicine and Pharmacy of Craiova, Craiova, Romania"},{"name":"Medical Softverse SRL, Craiova, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriel","family":"Gruionu","sequence":"additional","affiliation":[{"name":"Krannert Cardiovascular Institute, Indiana University, Bloomington, United States"},{"name":"Medical Softverse SRL, Craiova, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jayapal","family":"Ramesh","sequence":"additional","affiliation":[{"name":"Digestive Health Institute, Orlando Health, Orlando, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles Melbern","family":"Wilcox","sequence":"additional","affiliation":[{"name":"Digestive Health Institute, Orlando Health, Orlando, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shyam","family":"Varadarajulu","sequence":"additional","affiliation":[{"name":"Digestive Health Institute, Orlando Health, Orlando, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"194","published-online":{"date-parts":[[2025,10,13]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"17","DOI":"10.3322\/caac.21763","article-title":"Cancer statistics 2023","volume":"73","author":"RL Siegel","year":"2023","journal-title":"CA Cancer J Clin"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1162","DOI":"10.1093\/jnci\/djaa004","article-title":"Recent trends in the incidence and survival of stage 1a pancreatic cancer: a surveillance, epidemiology and end result analysis","volume":"112","author":"AL Blackford","year":"2020","journal-title":"J Natl Cancer 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