SEP 13, 2023
Stroke predicting AI could be in development! ESO presents new Artificial Intelligence study
SEP 01, 2021
(Photo : Photo by John Moore/Getty Images)
A stroke predicting AI was unveiled during the ESO (European Stroke Organization) Conference. If the new artificial intelligence is proven effective, it would be essential for many people since strokes are very dangerous and can lead to lifetime disabilities and even deaths.
Terminally ill patient Jim Staloch (R), caresses a dove on October 7, 2009 while at the Hospice of Saint John in Lakewood, Colorado. Animal therapist Tom Loux (L), brings the birds as part of an animal therapy program designed to increase happiness, decrease loneliness and calm terminally ill patients during the last stage of life.
"The study was an investigator-initiated, single-center, evaluator-blinded randomized clinical trial," explained Vall d' Hebrón University's researchers.
They added that their new AI system can identify the most crucial factors mitigating stroke recurrence. Involved medical experts added that their study shows how they can integrate machine learning technology to create an accurate and bespoke assessment of patients' potential risks of stroke attacks.
If their findings are accurate, their study would be a great help to prevent thousands of strokes and reduce disability and death cases in Europe.
According to Health Europa's latest report, the new study titled "Direct to Angiography Suite Without Stopping for Computed Tomography Imaging for Patients With Acute StrokeA Randomized Clinical Trial" was published in JAMA Network last Aug. 2.
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An AI robot with a humanistic face, entitled Alter 3: Offloaded Agency, is pictured during a photocall to promote the forthcoming exhibition entitled "AI: More than Human", at the Barbican Centre in London on May 15, 2019. - Managing the health of the planet, fighting against discrimination, innovating in the arts: the fields in which artificial intelligence (AI) can help humanity are innumerable.
Based on the new artificial intelligence research, the involved scientists employed calculations based on non-modifiable risk factors. These include physical activity levels, cholesterol, blood pressure, smoking, diet, obesity, and more.
The new AI study also used a dataset of 41,325 patients suffering from strokes. Giorgio Colangelo, the lead researcher of the new study, explained that they were able to use machine learning technology to predict stroke recurrence at 3 to 12 months on an individual level.
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 to change their lifestyles to prevent stroke attacks.
On the other hand, Dr. Marta Rubuera, the new study coordinator, said that they are still hoping that their artificial intelligence could create a more personalized stroke prediction.
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