Smartphone AI App Can Accurately Diagnose Strokes

A team of scientists from Australia’s RMIT University has developed software that uses artificial intelligence algorithms to analyze patients’ facial movements while they smile. If the muscle movements are found to be too asymmetrical, the software alerts medical staff that the person may have recently suffered a stroke.

The program relies on an existing facial coding system, breaking down expressions into specific muscle movement groups. These groups are referred to as action units, enabling the software to effectively track differences in movements.

One of the primary indicators for stroke victims is asymmetrical facial muscle behavior. The software swiftly detects this asymmetry, allowing doctors to promptly administer treatment. In stroke cases, timely intervention is crucial for recovery outcomes.

During testing, the system accurately identified stroke survivors 82% of the time. The technology is now set to be developed into a standalone application for healthcare professionals, enabling stroke diagnosis within seconds.

For American readers, this innovation underscores the growing potential of AI in revolutionizing healthcare, offering a quick and reliable tool for early stroke detection, which could significantly improve patient care and recovery in the USA and beyond.

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