[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100652962":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":24,"centralContacts":24,"locations":24,"responsibleParty":28,"collaborators":24,"id":30,"slug":31,"hasResults":32,"nctId":33,"briefTitle":34,"officialTitle":35,"acronym":36,"eligibilityCriteria":37,"healthyVolunteers":32,"sex":38,"minAge":39,"maxAge":40,"enrollmentInfo":41,"targetDuration":24,"studyType":44,"phases":45,"briefSummary":47,"conditions":48,"keywords":50,"overallStatus":54,"whyStopped":24,"lastUpdateSubmitDate":55,"lastUpdatePostDateStruct":56,"startDateStruct":59,"completionDateStruct":61,"leadSponsor":63,"locationsCount":24},{"fullName":5,"class":6},"Xuanwu Hospital, Beijing","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Arm 1","EXPERIMENTAL","AI-Driven Dynamic Health Management",[13],"Other: AI-Driven Dynamic Health Management",{"label":15,"type":16,"description":17,"interventionNames":18},"Arm 2","ACTIVE_COMPARATOR","Usual Community-Based Health Management",[19],"Other: Usual Community-Based Health Management",[21,25],{"type":6,"name":17,"description":22,"armGroupLabels":23,"otherNames":24},"Usual community-based health management for adults at high risk of stroke, including routine health examinations, basic health education, standard chronic disease follow-up, and routine medication guidance according to community health care practice. Participants do not receive the AI-driven dynamic health management service provided through the AI-ExpoStroke platform.",[15],null,{"type":6,"name":11,"description":26,"armGroupLabels":27,"otherNames":24},"A comprehensive AI-supported health management strategy for adults at high risk of stroke. The intervention integrates the AI-ExpoStroke risk assessment system with a digital stroke prevention and management platform, mobile applications or WeChat-based tools, wearable-device interfaces when applicable, and coordinated community health care. Participants generally report blood pressure, body weight, medication use, and lifestyle-related information at least monthly. The platform supports dynamic risk assessment, individualized risk-factor management targets, health reminders, lifestyle recommendations, health education, and remote guidance from community health care providers. AI-generated recommendations are intended to support health management and do not replace clinical decision-making by physicians.",[9],{"type":29,"investigatorFullName":24,"investigatorTitle":24,"investigatorAffiliation":24,"oldNameTitle":24,"oldOrganization":24},"SPONSOR","100652962","ai-driven-health-management-to-prevent-ischemic-stroke-in-high-risk-adults-100652962",false,"NCT07779668","AI-Driven Health Management to Prevent Ischemic Stroke in High-Risk Adults","Intelligent Early Warning of Ischemic Cerebrovascular Disease Based on Multi-Source Data Fusion and Demonstration of Tiered Prevention and Control in Beijing","AI-ExpoStroke","Inclusion Criteria:\n\n* Age 30 years or older, with no restriction on sex. Permanent resident of Beijing. No previously diagnosed stroke based on prospective community screening. Identified as being at high risk of stroke by the AI-ExpoStroke model in combination with the established stroke \"8+2\" high-risk factors.\n\nAble to comply with study follow-up and willing to provide informed consent.\n\nExclusion Criteria:\n\n* Previous diagnosis of ischemic stroke or hemorrhagic stroke. Severe cognitive impairment. Severe organic disease, including malignant tumors, heart failure of NYHA class III or higher, renal failure, or other severe conditions.\n\nPsychiatric or language impairment that prevents completion of study questionnaires or follow-up.\n\nInability to obtain complete follow-up data or unwillingness to permit access to relevant study data.","ALL","30 Years","80 Years",{"count":42,"type":43},26000,"ESTIMATED","INTERVENTIONAL",[46],"NA","This study will evaluate whether an artificial intelligence (AI)-driven dynamic health management strategy can help prevent ischemic stroke in adults at high risk of stroke. Participants will be identified through community-based screening in Beijing using the AI-ExpoStroke model together with established stroke risk factors.\n\nCommunities will be randomly assigned to either an AI-driven health management group or a usual community-based health management group. Participants in the AI-driven group will receive continuous health management supported by a digital platform, mobile applications or WeChat-based tools, wearable-device data when available, personalized health guidance, and remote support from community health care providers. Participants in the usual-care group will receive routine community health services, including health examinations, health education, chronic disease follow-up, and medication guidance.\n\nParticipants will be followed for 36 months. The main goal is to determine whether AI-driven health management reduces the occurrence of first-ever ischemic stroke. The study will also evaluate transient ischemic attacks, stroke-related disability, mortality, control of major vascular risk factors, adherence to health management, and health economic outcomes.",[49],"Ischemic Stroke",[51,52,53],"Artificial Intelligence","Stroke Prevention","Primary Prevention","NOT_YET_RECRUITING","2026-08-18",{"date":57,"type":58},"2026-08-21","ACTUAL",{"date":60,"type":43},"2026-08-31",{"date":62,"type":43},"2029-12-31",{"name":5,"class":6}]