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AI-Driven Health Management to Prevent Ischemic Stroke in High-Risk Adults

NCT07779668 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 26000

Last updated 2026-08-21

No results posted yet for this study

Summary

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.

Communities 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.

Participants 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.

Conditions

Interventions

OTHER

Usual Community-Based Health Management

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.

OTHER

AI-Driven Dynamic Health Management

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.

Sponsors & Collaborators

  • Xuanwu Hospital, Beijing

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
30 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-08-31
Primary Completion
2029-12-31
Completion
2029-12-31

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Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07779668 on ClinicalTrials.gov