[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100497880":3},{"organization":4,"armGroups":7,"interventions":17,"overallOfficials":21,"centralContacts":25,"locations":36,"responsibleParty":52,"collaborators":10,"id":54,"slug":55,"hasResults":56,"nctId":57,"briefTitle":58,"officialTitle":59,"acronym":10,"eligibilityCriteria":60,"healthyVolunteers":56,"sex":61,"minAge":62,"maxAge":63,"enrollmentInfo":64,"targetDuration":10,"studyType":67,"phases":10,"briefSummary":68,"conditions":69,"keywords":10,"overallStatus":39,"whyStopped":10,"lastUpdateSubmitDate":72,"lastUpdatePostDateStruct":73,"startDateStruct":76,"completionDateStruct":78,"leadSponsor":80,"locationsCount":81},{"fullName":5,"class":6},"National Taiwan University Hospital","OTHER",[8,12],{"label":9,"type":10,"description":11,"interventionNames":10},"Routine endoscopy alone",null,"Routine endoscopy without artificial intelligence assistance",{"label":13,"type":10,"description":14,"interventionNames":15},"Routine endoscopy with artificial intelligence-assisted interpretation","Routine endoscopy assisted by artificial intelligence to enhance the detection of H. pylori infection and premalignant gastric conditions.",[16],"Other: Routine endoscopy with artificial intelligence-assisted interpretation",[18],{"type":6,"name":13,"description":19,"armGroupLabels":20,"otherNames":10},"(1) Improved detection of H. pylori infection, leading to timely eradication therapy. (2) Earlier identification of premalignant gastric conditions, facilitating appropriate surveillance endoscopy.",[13],[22],{"name":23,"affiliation":5,"role":24},"Tsung-Hsien Chiang, MD, PhD","PRINCIPAL_INVESTIGATOR",[26,32],{"name":27,"role":28,"phone":29,"phoneExt":30,"email":31},"Yi-Chia Lee, MD, PhD","CONTACT","886-2-23123456","265689","yichialee@ntu.edu.tw",{"name":33,"role":28,"phone":29,"phoneExt":34,"email":35},"Tsung-Hsien Chiang, MD,PhD","265427","thchiang@ntu.edu.tw",[37],{"facility":38,"status":39,"city":40,"state":10,"zip":41,"country":42,"countryCode":43,"cosmosGeoPoint":44,"geoPoint":49,"contacts":50},"Yi-Chia Lee","RECRUITING","Taipei","10015","Taiwan","TW",{"type":45,"coordinates":46},"Point",[47,48],121.52639,25.05306,{"lat":48,"lon":47},[51],{"name":38,"role":28,"phone":10,"phoneExt":10,"email":31},{"type":53,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100497880","application-of-artificial-intelligence-on-the-diagnosis-of-helicobacter-pylori-infection-and-premalignant-gastric-lesion-100497880",false,"NCT05762991","Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion","Application of Artificial Intelligence on the Diagnosis of Helicobacter Pylori Infection and Premalignant Gastric Lesion: A Randomized Clinical Trial","Inclusion Criteria:\n\n1. Age 20-80\n2. Scheduled endoscopy\n\nExclusion Criteria:\n\n1\\. History of gastric surgery","ALL","20 Years","80 Years",{"count":65,"type":66},6000,"ESTIMATED","OBSERVATIONAL","The aim of this study is to evaluate the impact of artificial intelligence (AI) assistance during routine upper endoscopy on gastric cancer-specific mortality. We hypothesize that AI-assisted endoscopic interpretation can further reduce gastric cancer-related mortality through two mechanisms: (1) improved detection of H. pylori infection, facilitating timely eradication therapy and subsequent prevention of gastric carcinogenesis; and (2) earlier identification of premalignant gastric conditions, enabling appropriate surveillance endoscopy and earlier detection of gastric cancer. The primary endpoint is gastric cancer-specific mortality.",[70,71],"Helicobacter Pylori Infection","Premalignant Lesion","2026-06-21",{"date":74,"type":75},"2026-06-24","ACTUAL",{"date":77,"type":75},"2021-12-24",{"date":79,"type":66},"2028-12-31",{"name":5,"class":6},1]