Research on Early Prediction Model of Ischemic Cerebrovascular Disease Based on Artificial Intelligence Technology.

Recruiting now

Conditions studied: Ischemic Cerebrovascular Disease, Artificial Intelligence, Prediction Model

In brief

Establish an artificial intelligence clinical decision support system for patients with carotid/vertebral artery cerebrovascular stenosis, early identification of patients who may have cerebral infarction. With the support of this project, it is expected that a secondary prevention clinical decision support system for chronic stroke will be established, which is likely to become an important auxiliary tool for the management of cerebrovascular diseases in the future.

Key facts

Study ID

NCT06978348

Run by

Shanghai Jiao Tong University School of Medicine

People needed

244296

Starts

2025-05-10

Expected to finish

2025-06-10

Last updated by the study team

2025-05-18

Who can join

Age: any. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Patients undergoing vascular (carotid/vertebral artery) B-ultrasound

You may not qualify if…

• Patients with missing clinical data such as medical history, cerebrovascular ultrasound results and biochemical data

Where it is running

• Model — Shanghai, Shanghai Municipality, China (enrolling)

Full record on ClinicalTrials.gov

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