An AI Tool for Sartphones Detects Strokes Rapidly by Analyzing Facial Videos

Early medical intervention is crucial for stroke victims, and a new smartphone tool aims to facilitate this by enabling first responders to quickly assess whether a patient has suffered a stroke.

Improving Stroke Treatment with Early Detection Tools

In such instances, patients undergo a series of assessments upon arrival at the hospital. If these tests confirm a stroke, treatment commences immediately.

However, if doctors were aware beforehand that a patient had already suffered a stroke, treatment could begin as soon as they arrived at the hospital.

This is where the experimental smartphone tool plays a crucial role.

RMIT University’s AI-Based Stroke Detection Software

Developed by a team of researchers from RMIT University in Australia, the software uses AI algorithms to analyze a video of the patient’s face while they smile.

Moreover, if the facial muscle movements exhibit significant asymmetry, the software alerts the user that the patient likely experienced a recent stroke.

In fact, The system utilizes the Facial Action Coding System, which breaks down facial expressions into specific muscle movement components known as Action Units.

However, according to Guilherme Camargo de Oliveira, the lead scientist and a PhD scholar, “A common symptom among stroke patients is unilateral facial muscle impairment, where one side of the face moves differently from the other.“

To conclude, We have developed AI and image processing tools that can detect changes in smile asymmetry, which is crucial for our detection method.

Read the original article on: New Atlas

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