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This study presents an artificial intelligence (AI)\u2010assisted bedside diagnostic system to enhance EGC detection by visualizing gastric mucosal acidity. The ATPase H\n                    <jats:sup>+<\/jats:sup>\n                    \/K\n                    <jats:sup>+<\/jats:sup>\n                    transport \u03b2 subunit (ATP4B), a key regulator of acid secretion, is progressively downregulated in gastric mucosal atrophy and intestinal metaplasia, and significantly reduced in EGC. A surface\u2010enhanced Raman scattering (SERS) microarray is developed to map mucosal pH in 50 patient specimens (1,516 points), with founding compared to pathological images. A multi\u2010model neural network is trained and validated internally on data from 40 patients (1,127 points) and externally validated on 10 patients (389 points). Using an optimal pH threshold of 6.845, the system achieved a strong correlation (R\n                    <jats:sup>2<\/jats:sup>\n                    = 0.79) and low error (SSE = 71.83). External validation demonstrated 87.79% sensitivity, 85.04% specificity, 86.89% accuracy, and a \u03ba score of 0.71. This system detected mild pH shifts in atrophic gastritis with intestinal metaplasia, but marked increases with EGC onset, and is able to predict inflammation prior to pathology confirmation. By integrating pH mapping with morphological features, this approach enables precise EGC localization, improves guidance for endoscopic submucosal dissection (ESD), and reduces false\u2010positive diagnoses.\n                  <\/jats:p>","DOI":"10.1002\/advs.202504932","type":"journal-article","created":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T14:52:47Z","timestamp":1760971967000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["AI\u2010Assisted Detection of Early Gastric Cancer via Visualization of Mucosal Acidity Compromise During Endoscopy"],"prefix":"10.1002","volume":"12","author":[{"given":"Huihui","family":"Yan","sequence":"first","affiliation":[{"name":"Department of Gastroenterology The Second Affiliated Hospital Zhejiang University School of Medicine  Hangzhou 310009 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