STATES CHRONICLE – At the moment, numerous teams are experimenting how far they can go with artificial intelligence at such a young stage in this tech area. The good news is that its uses transcend the sector of technology. It turns out that psychiatry can benefit from AI as well. A new study found a way to intercept suicidal intentions in people by recording how they react to certain keywords.
People Reading Negative or Positive Keywords Can Give Their Suicidal Intentions Away
According to the World Health Organization, at least 800,000 persons commit suicide in a year. It is the second most common cause of death for people age 15 to 24 in the United States. However, the system possesses means to prevent suicides from happening. The problem is how to detect people with suicidal thoughts.
A new study might have a solution to close this gap in the system. The method needs brain scans and a certain software with artificial intelligence to detect when someone is considering to take her own life. The journal Nature Human Behavior published the results online.
The team of researchers led by Carnegie Mellon University neuroscientist Marcel Just discovered that certain patterns at the level of the brain are giving away suicidal intentions. These reactions are triggered when people read keywords related to death, suicide, and other negative or positive emotions on a piece of paper.
“What is central to this new study is that we can tell whether someone is considering suicide by the way that they are thinking about the death-related topics.”
The AI Software Recorded a 94% Success Rate
Researchers examined 34 participants. Out of these, 17 persons were confronting suicidal thoughts while the rest of them were healthy control subjects. Each of them was coupled to an MRI machine while reading a series of keywords. Ten of them inspired positive emotions such as ‘carefree.’ Other ten terms inspired negative feelings such as ‘desperate’ or ‘hopeless.’
Based on their data, researchers marked five regions of the brain that form certain patterns when persons are contemplating suicide. They also extracted six keywords that can give a suicidal person away. The result is an algorithm that had a 94% success rate when identifying participants who attempted suicide at some point in their lives.
The findings of this study can help healthcare experts identify and monitor patients with emotional issues. They can intervene and prevent possible suicides as long as they track down such intentions in due time.
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