[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100589980":3},{"organization":4,"armGroups":7,"interventions":17,"overallOfficials":10,"centralContacts":10,"locations":10,"responsibleParty":22,"collaborators":10,"id":26,"slug":27,"hasResults":28,"nctId":29,"briefTitle":30,"officialTitle":30,"acronym":10,"eligibilityCriteria":31,"healthyVolunteers":28,"sex":32,"minAge":10,"maxAge":10,"enrollmentInfo":33,"targetDuration":10,"studyType":36,"phases":10,"briefSummary":37,"conditions":38,"keywords":10,"overallStatus":41,"whyStopped":10,"lastUpdateSubmitDate":42,"lastUpdatePostDateStruct":43,"startDateStruct":46,"completionDateStruct":48,"leadSponsor":50,"locationsCount":10},{"fullName":5,"class":6},"Shanghai 6th People's Hospital","OTHER",[8,12],{"label":9,"type":10,"description":11,"interventionNames":10},"Manual quality control",null,"The questionnaire content was checked by manually listening back to the recordings and errors were recorded manually",{"label":13,"type":10,"description":14,"interventionNames":15},"Use AI tools to conduct quality control","Quality control personnel use an integrated AI-assisted system to perform quality control on epidemiological survey data. The AI system automatically transcribes audio and analyzes data quality,. Quality control personnel conduct reviews based on AI prompts.",[16],"Other: AI-assisted quality control tool",[18],{"type":6,"name":19,"description":20,"armGroupLabels":21,"otherNames":10},"AI-assisted quality control tool","In this study, quality control personnel will be randomly divided into an experimental group and a control group, and will use artificial intelligence-assisted quality control and manual quality control to conduct quality control on the data collected from the epidemiological survey.\n\nExperimental group: Quality control personnel will use the AI system to perform quality control on the questionnaire recordings.\n\nControl group: The questionnaire content was checked by manually listening back to the recordings and errors were recorded manually.",[13],{"type":23,"investigatorFullName":24,"investigatorTitle":25,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Li Huating","Professor","100589980","ai-assisted-quality-control-study-of-multimodal-data-in-the-epidemiological-survey-of-shanghai-nicheng-cohort-study-100589980",false,"NCT06961461","AI-assisted Quality Control Study of Multimodal Data in the Epidemiological Survey of Shanghai Nicheng Cohort Study","Inclusion Criteria:\n\n1. Be proficient in using computers;\n2. The person responsible for questionnaire quality control needs to have good dialect recognition ability;\n3. Have a basic understanding or high acceptance of AI-assisted tools, and be able to adapt to the learning and application of new technologies\n4. Be able to participate in the research throughout the process, abide by the research process, receive training, and be willing to complete quality control tasks as required.\n\nExclusion Criteria:\n\n1. The person responsible for questionnaire quality control cannot understand or recognize Shanghai Nanhui dialect proficiently;\n2. Unfamiliar with AI-assisted tools and difficult to accept technical operations;\n3. Unable to participate in the research, receive training or complete the specified tasks due to other work or academic reasons;","ALL",{"count":34,"type":35},900,"ESTIMATED","OBSERVATIONAL","This study is based on the Nicheng Cohort study. This study intends to analyze whether AI assistance can effectively improve the efficiency and accuracy of quality control of data collected in large-scale epidemiological surveys based on traditional quality control processes.",[39,40],"Quality Control","Cohort Studies","NOT_YET_RECRUITING","2025-04-29",{"date":44,"type":45},"2025-05-08","ACTUAL",{"date":47,"type":35},"2025-05-01",{"date":49,"type":35},"2025-08-15",{"name":5,"class":6}]