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New AI Mental Health Tools Beat Human Doctors at Assessing Patients

That’s the bad news.

The good news is that mental health professionals have smarter tools than ever before, with artificial intelligence-related technology coming to the forefront to help diagnose patients, often with much greater accuracy than humans.

A new study published in the journal Suicide and Life-Threatening Behavior, for example, showed that machine learning is up to 93 percent accurate in identifying a suicidal person. The research, led by John Pestian, a professor at Cincinnati Children’s Hospital Medical Center, involved 379 teenage patients from three area hospitals.

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