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

Condition(s) studied

Study summary

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.

Eligibility

Primary outcome measure(s)

• 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. — December 2025
  1.The clinical history, imaging data, blood test indicators and other data of patients who completed carotid/vertebral artery cerebrovascular ultrasound examinations from January 2012 to December 2022 were collected to establish a data set；2. This dataset was statistically analyzed in combination with the general risk factors of cerebrovascular diseases and the specific risk factors of carotid artery stenosis；3. The above-mentioned model was trained using the existing clinical database of patients with carotid and cerebrovascular stenosis in the hospital；4. Through machine learning, an artificial intelligence clinical decision support system for patients with carotid/vertebral artery stenosis is established to identify patients with early cerebrovascular stenosis who require surgical intervention, and even asymptomatic patients.

Trial sites (1)

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