A stroke predicting AI was unveiled at the European Stroke Organization (ESO) conference. If the new artificial intelligence proves to be effective, it would be essential for many people, as strokes are very dangerous and can lead to lifelong disabilities and even death.
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“The study was a randomized clinical trial without the knowledge of the evaluator, at the initiative of a researcher,” explained researchers from Vall d’HebrÃ³n University.
They added that their new AI system can identify the most crucial factors in reducing stroke recurrence. The medical experts involved added that their study shows how they can integrate machine learning technology to create an accurate and tailored assessment of patients’ potential stroke risks.
If their results are correct, their study would be of great help in preventing thousands of strokes and reducing disability and death cases in Europe.
Predicting the effectiveness of AI
According to Health EuropeThe latest report from, the new study titled “Direct to Angiography Suite Without Stop for Computed Tomography Imaging for Patients With Acute StrokeA Randomized Clinical Trial” was published in JAMA Network last August 2.
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Based on the new research on artificial intelligence, the scientists involved used calculations based on unmodifiable risk factors. These include physical activity levels, cholesterol, blood pressure, smoking, diet, obesity, etc.
The new AI study also used a data set of 41,325 stroke patients. Giorgio Colangelo, the lead researcher of the new study, explained that they were able to use machine learning technology to predict stroke recurrence between 3 and 12 months at an individual level.
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Other details of the new predictive AI of stroke
Colangelo further explained that their new AI was able to determine the most relevant risk factors. He added that this innovation could help various patients change their lifestyle to prevent stroke attacks.
On the flip side, Dr Marta Rubuera, the study’s new coordinator, said they still hope their artificial intelligence could create a more personalized stroke prediction.
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