{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:47:56Z","timestamp":1787014076339,"version":"build-2736575974"},"reference-count":33,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Digestive Endoscopy"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Artificial intelligence (AI)\u2010assisted endoscopy has been developed for the early detection of upper gastrointestinal cancer; however, its clinical effectiveness remains insufficiently evaluated. This study assessed its effectiveness in a health screening facility.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This retrospective cohort study compared AI\u2010assisted and non\u2010AI\u2010assisted upper gastrointestinal endoscopy at Omiya City Clinic, Japan (April 2021\u2013March 2024). Participants who underwent endoscopy between April 2021 and March 2023 were classified as the non\u2010AI group, while those examined between April 2023 and March 2024 comprised the AI group. The AI\u2010assisted system was introduced in April 2023. The primary outcome was cancer detection rate (CDR), with secondary outcomes including biopsy rate and positive predictive value (PPV). Propensity score matching (PSM) was performed for age, sex, alcohol consumption, smoking,\n                      <jats:styled-content style=\"fixed-case\">\n                        <jats:italic>Helicobacter pylori<\/jats:italic>\n                      <\/jats:styled-content>\n                      infection history, endoscopist experience, and prior\u2010year endoscopy to minimize bias.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In total, 17,662 were included in the AI group and 32,318 in the non\u2010AI group. PSM created 17,662 matched pairs. In the AI group, the CDR for gastric cancer (GC) was significantly higher compared to the non\u2010AI group (0.10% vs. 0.03%,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05). The biopsy rate was slightly higher in the AI group, with no significant difference, whereas the PPV of biopsy for gastric cancer and esophageal cancer was significantly increased (4.84% vs. 2.16%,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In a clinical screening setting, AI\u2010assisted endoscopy significantly improved the CDR of GC and enhanced the PPV of biopsies. These findings highlight AI\u2010assisted endoscopy as a valuable tool for early GC diagnosis in screening environments.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/den.70159","type":"journal-article","created":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T02:19:46Z","timestamp":1777688386000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Impact of Artificial Intelligence\u2010Assisted Endoscopy on\u00a0Screening for Upper Gastrointestinal Cancer in a Large\u2010Scale Health Screening Facility"],"prefix":"10.1111","volume":"38","author":[{"given":"Chihiro","family":"Goto","sequence":"first","affiliation":[{"name":"Department of Gastroenterology Chiba University  Chiba Japan"},{"name":"Omiya City Clinic  Saitama 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