Researchers Develop AI Model To Predict A Person’s 10-year Risk Of Stroke

Researchers developed a deep learning model using AI and single chest X-ray to predict a person’s ten-year risk of dying from a stroke.

 
Tanya Srivastava
Written by: Tanya SrivastavaUpdated at: Dec 02, 2022 18:51 IST
 Researchers Develop AI Model To Predict A Person’s 10-year Risk Of Stroke

Around 15 million people every year suffer from a stroke which accounts to about five million deaths and five million permanently disabled worldwide. The severity of a stroke primarily depends on how promptly a person get the treatment once the symptoms begin to start developing. 

The risk factors of stroke and heart attack include:

  • Age
  • Gender
  • Hypertension
  • Diabetes
  • Family history or genetics
  • Pre-existing heart disease

Common symptoms of stroke and heart attack include:

  • Vision issues
  • Dizziness
  • Severe and consistent headache
  • Numbness
  • Inability to speak, respond and/or understand
 Researchers Develop AI Model To Predict A Person’s 10-year Risk Of Stroke

According to a recent study presented at the the Radiological Society of North America (RSNA) in Chicago, researchers developed a deep learning model using artificial intelligence and a single chest X-ray to help in predicting a person’s ten-year risk of dying from a heart attack or stroke.

Lead study author, Jakob Weiss explained a leading medical website, "Current guidelines of the American College of Cardiology and American Heart Association on the primary prevention of cardiovascular diseases suggest that the use of a risk calculator to accurately estimate the risk of future CVD."

"This risk calculator is dependent on the ASCVD risk score, which is a multivariable regression model requiring nine variables as input. These variables include age, sex, smoking habits, lipids, blood pressure, and diabetes, etc. However, these variables are often not readily available, which makes novel and more practical screening approaches desirable to one and all," he added.

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