{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T18:10:36Z","timestamp":1789582236973,"version":"build-2803163510"},"reference-count":39,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T00:00:00Z","timestamp":1771891200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T00:00:00Z","timestamp":1771891200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["23Y11905300"],"award-info":[{"award-number":["23Y11905300"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["YG2025ZD01"],"award-info":[{"award-number":["YG2025ZD01"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82570787"],"award-info":[{"award-number":["82570787"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Gastro and Hepatol"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aims<\/jats:title>\n                    <jats:p>\n                      Endoscopic differentiation between autoimmune gastritis (AIG) and\n                      <jats:styled-content style=\"fixed-case\">\n                        <jats:italic>Helicobacter pylori<\/jats:italic>\n                      <\/jats:styled-content>\n                      \u2013associated atrophic gastritis (HpAG) remains clinically challenging, often leading to misdiagnosis and inappropriate treatment. We aimed to develop and validate an AI system for AIG diagnosis using single white\u2010light endoscopic images of gastric corpus atrophy.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This multicenter retrospective study included 2137 patients (1064 AIG and 1073 HpAG) from five tertiary hospitals in China. Data from two centers were used for training and internal validation, and three centers for external validation. We developed CorpusNet\u2010AIG using the RegNet architecture and compared its diagnostic performance with that of 15 endoscopists (5 experts, 5 seniors, and 5 novices) using 100 cases. Endoscopists performed diagnoses under two conditions: single gastric corpus atrophy images and complete endoscopic image sets. Metrics included accuracy, sensitivity, specificity, PPV, NPV, and AUC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      CorpusNet\u2010AIG achieved excellent performance in internal validation (accuracy 94.51%, sensitivity 93.23%, specificity 95.71%, AUC 0.990) and external validation (accuracy 92.94%, sensitivity 93.18%, specificity 92.68%, AUC 0.972). Using single images, the AI system (93.00%) significantly outperformed novice (73.80%,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), and senior endoscopists (81.80%,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.009) showed comparable performance to expert endoscopists (89.20%,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.334) and maintained superior performance over novices (74.60%,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) and seniors (84.20%,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.033) even when they used complete image sets, while achieving equivalent performance to experts using complete images (93.00%,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&gt;\u20090.999).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>We developed the first AI system to achieve expert\u2010level AIG diagnosis using single gastric corpus atrophy images. Prospective multicenter validation is needed to support clinical implementation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jgh.70296","type":"journal-article","created":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T10:32:36Z","timestamp":1772965956000},"page":"1292-1302","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Artificial Intelligence for Single\u2010Image Diagnosis of Autoimmune Gastritis Using Gastric Corpus Atrophy Images: A Multicenter Retrospective Diagnostic Study"],"prefix":"10.1111","volume":"41","author":[{"given":"Yiming","family":"Song","sequence":"first","affiliation":[{"name":"Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital Shanghai Jiao Tong University School of Medicine  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xunbing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Digestive Endoscopy Center Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liwei","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology Chongqing General Hospital  Chongqing People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junyu","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology The Second Affiliated Hospital of Chongqing Medical University  Chongqing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zeyu","family":"Li","sequence":"additional","affiliation":[{"name":"Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital Shanghai Jiao Tong University School of Medicine  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruilan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology Armed Police Forces Hospital of Sichuan  Leshan Sichuan Province China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinnan","family":"Chen","sequence":"additional","affiliation":[{"name":"Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital Shanghai Jiao Tong University School of Medicine  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Huang","sequence":"additional","affiliation":[{"name":"Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital Shanghai Jiao Tong University School 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