New tool could help paramedics identify stroke in seconds

New tool could help paramedics identify stroke in seconds
When tradie and triplet Joel Daniels started losing strength in his left side in 2022, he saw three different clinicians over a week. I knew something wasn't right. My arm was the first thing that failed me. Finally, his triplet sister Hannah, a nurse, noticed his face drooping. Straight away. She recognised the signs of stroke. She knew I was having a stroke and took me to hospital. At age 31. Joel had suffered a slow brain bleed and luckily his sister recognised the symptoms. Often subtle signs may be missed. Now RMIT University has developed a stroke scanner which aims to detect a potential stroke fast. Few seconds at the moment on a typical smartphone, I would say less than 30 seconds. Researchers have trained artificial intelligence to analyse micro muscle changes in the face via a smartphone. Mouth droop is a common stroke indicator. What our app is able to do is pick up the subtle signs of the droop of the change in the way the person is smiling and using that we're able to determine if the person has had a stroke. While the scanning technology is still in the early development phase, testing so far shows it has an 82% accuracy rate for detecting stroke. A goal in future is to equip first responders with the technology. Joel is now an ambassador for the Stroke Foundation and grateful to be able to share his story. They just think it's a miracle. Emily Rice, 9 News.
  • https://www.msn.com/en-au/news/australia/new-tool-could-help-paramedics-identify-stroke-in-seconds/vi-BB1oqDwa?ocid=00000000

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