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Researchers develop new way to detect strokes with iPhone - Fox Business
Oct 23, 2020 1 min, 19 secs
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“When a patient experiences symptoms of a stroke, every minute counts,” said James Wang, professor of information sciences and technology at Penn State, in a statement.

“But when it comes to diagnosing a stroke, emergency room physicians have limited options: send the patient for often expensive and time-consuming radioactivity-based scans or call a neurologist — a specialist who may not be immediately available — to perform clinical diagnostic tests.”.

Kathryn Atkinson, a patient at Houston Methodist Hospital, participates in a smartphone screening test to analyze stroke-like symptoms.

“This is one of the first works that is enabling [artificial intelligence] to help with stroke diagnosis in emergency settings,” added Sharon Huang, associate professor of information sciences and technology at Penn State.

The model had a 79% accuracy rate after being tested on more than 80 patients who had experienced stroke symptoms at Houston Methodist, roughly the same accuracy rate as emergency room doctors.

“There are millions of neurons dying every minute during a stroke,” said John Volpi, a vascular neurologist and co-director of the Eddy Scurlock Stroke Center at Houston Methodist Hospital.

“In severe strokes, it is obvious to our providers from the moment the patient enters the emergency department, but studies suggest that in the majority of strokes, which have mild to moderate symptoms, that a diagnosis can be delayed by hours and by then a patient may not be eligible for the best possible treatments.”.

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