Apps & Software News

New mHealth App Identifies Stroke Signs Through Speech, Facial Movements

Researchers at Penn State and Houston Methodist say the mHealth app, which uses AI technology, is as accurate in identifying stroke symptoms as an ER doctor using a CT scan.

mHealth applications

Source: ThinkStock

By Eric Wicklund

- An mHealth app developed by researchers at Penn State and Houston Methodist Hospital reportedly can diagnose a stroke from a user’s speech and facial movements.

James Wang, a professor of information sciences and technology at Penn State, says the app, which can be downloaded on a smartphone or tablet, uses AI to identify signs of a stroke, and has been proven as accurate as an emergency room exam.

"Currently, physicians have to use their past training and experience to determine at what stage a patient should be sent for a CT scan," Wang said in a press release. "We are trying to simulate or emulate this process by using our machine learning approach."

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