It’s difficult to identify whether or not someone is feeling suicidal by asking. according to studies, roughly 80 % of these who go through with the act denied feeling suicidal the last time they spoke to a mental health care expert. However, AI-related technology — that is also being applied to things like spotting cancerous cells — might provide the 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 made an algorithm that may measure the overall brain activity and verify when activity in suicide-linked regions is especially strong. The system is 91 % correct in tests and is as trustworthy in identifying unaffected people as those with suicidal thoughts.
Lead author Dr. Marcel just was quick to warn The ways Man that this is not a guaranteed technique for revealing suicidal thoughts, at least not in its present form. The conclusions came from 30-minute sessions in giant mri scanners, that are neither practical for therapists’ offices nor particularly inviting. Also, everybody within the study was a volunteer. It remains to be seen whether or not a suicidal person who hasn’t confessed their feelings will produce the same results. If they know doctors are looking for specific brain activity, they’ll suppress their reactions in a bid to avoid divulging their true thoughts. Even so, this raises the possibility that AI could reveal these cues within the future by using less conspicuous equipment and testing methods.
If you find yourself feeling suicidal thoughts, please reach out for help.