Using artificial intelligence to predict ischemic cerebrovascular disease early
Official title: Establish an Artificial Intelligence Clinical Decision Support System for Patients With Carotid/Vertebral Artery Stenosis.
Run by Shanghai Jiao Tong University School of Medicine · NCT06978348 · Data updated 2026-11-12
This study is testing whether a new artificial intelligence tool can help doctors find patients at risk of serious strokes by looking at their health data.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 244296 (estimated) |
| Sponsor | Shanghai Jiao Tong University School of Medicine Academic / other |
| Locations | 1 site (Shanghai, Shanghai Municipality) |
| Status | Recruiting |
| Started | May 10, 2025 |
| Main results expected | June 10, 2025 |
| Study ends | June 10, 2025 |
| Registry record updated | May 18, 2025 |
| Trial ID | NCT06978348 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients undergoing vascular ultrasound for carotid or vertebral artery assessment.
✕Probably not a fit
Patients with incomplete clinical data or those not undergoing the necessary vascular ultrasound will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This project aims to develop an artificial intelligence-based clinical decision support system to identify patients with carotid and vertebral artery stenosis who are at risk of cerebral infarction. By analyzing demographic and clinical data from multiple centers, the study seeks to create a predictive model for disease progression and adverse cardiovascular events. The goal is to enhance secondary prevention strategies for chronic stroke management, ultimately improving patient outcomes and reducing healthcare costs associated with ischemic stroke.
Why it matters
Potential benefit: If successful, this approach could significantly improve early detection and management of ischemic cerebrovascular disease, potentially reducing the incidence of strokes.
How similar studies have gone: While the use of artificial intelligence in medical prediction models is gaining traction, this specific approach to ischemic cerebrovascular disease is relatively novel and has not been extensively tested.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: Patients undergoing vascular (carotid/vertebral artery) B-ultrasound Exclusion Criteria: Patients with missing clinical data such as medical history, cerebrovascular ultrasound results and biochemical data
Where it's running
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Model
Shanghai, Shanghai Municipality, China Recruiting
Study contacts
- Principal investigator: Yijun Cheng, Doc — Ruijin Hospital
- Study coordinator: Yijun Cheng, Doc
- Email: cyj12574@rjh.com.cn
- Phone: 86+15021058538
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.