An algorithm could identify suicidal feelings based on brain scans
By Jon Fingas From engadget
Scientists used machine learning to pick out brain activation responses to specific questions.
It’s difficult to identify whether or not someone is feeling suicidal by asking. According to studies, roughly 80 percent of those who go through with the act denied feeling suicidal the last time they spoke to a mental health care expert. However, AI-related technology — which is also being applied to things like spotting cancerous cells — might offer a way to identify these thoughts and prompt a timely intervention. Researchers have developed a machine learning algorithm that identifies suicidal tendencies based on activity in specific brain regions.
Based on fMRI scans, the team learned that certain keywords sparked activity in mostly different brain regions depending on whether or not someone was feeling suicidal. With that knowledge, the team produced an algorithm that can measure the overall brain activity and determine when activity in suicide-linked regions is particularly strong. The system is 91 percent accurate in tests and is as trustworthy in identifying unaffected people as those with suicidal thoughts.
If you find yourself feeling suicidal thoughts, please reach out for help.
IMAGE: Getty Images
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