Risk of Stroke Recurrence can be Predicted by Artificial Intelligence (AI)

Personalized and more accurate risk for stroke recurrence can be now calculated by artificial intelligence (AI).

Personalized and more accurate risk for stroke recurrence can be now calculated by artificial intelligence (AI), as per a study presented at the European Stroke Organization (ESO) Conference.

The technology would thereby help in identifying the most important factors for preventing many thousands of stroke recurrence per year in Europe as well as around the globe.

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Stroke can cause permanent disability and it is important to recognize its early warning signs to stop its progress. Early warning signs of stroke include sudden weakness of facial muscles.

‘Personalized and more accurate risk for stroke recurrence can be now calculated by artificial intelligence (AI). ’

It is estimated that 1 in 4 stroke survivors have the chance of another stroke2 and up to 80% might be prevented with the right treatments and lifestyle changes. The numbers are predicted to rise by 27% between 2017 and 2047 in the European Union due to an increase in the number of people over 704.

Stroke Risk and AI

The study team utilized a dataset of 41,325 patients admitted with a stroke diagnosis in 88 public hospitals over six years.

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Stroke is a brain attack, which occurs when the blood supply to the brain is interrupted. It affects all age groups; according to the WHO, 15 million people are affected by stroke annually.

Both non-modifiable risk factors (such as age and ethnicity) and modifiable lifestyle risk factors and habits (such as smoking, weight, blood pressure, and cholesterol, diet, obesity, physical activity levels, treatment compliance, and socio-economic factors) were utilized to make the calculations.

These data were fed into an AI-based model which was able to provide an individualized risk of stroke recurrence at three and 12 months, further aiding in the improvement of patient’s treatment adherence.

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“We hope the data may be used to create a much more personalised prediction of if, and when, patients might have another stroke, and that by explaining the impact of individual risk factors, it will make patients more likely to comply with any treatment prescribed or lifestyle changes suggested, reducing the likelihood of having another stroke”, says Dr. Marta Rubiera, Neurologist at Vall d’ Hebrón University Hospital and coordinator of the study.

The team also affirms that the study will help inform the personalization of a recently developed app, NORA for further improvement of stroke management.

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Source-Medindia