AI achieves parity with human evaluators in text-message mental health trial

AI equals humans in mental health text message trial

Researchers at UW Medicine have discovered that algorithms can be as accurate as human evaluators in identifying red flag language in texts from people suffering serious mental illness. This is a promising study area that could be helpful in psychiatry education and the scarcity of services.

The journal Psychiatric Services published the findings in late September.

Text messages are becoming more common in mental health evaluation and care, but they can lack emotional references that therapists rely on to guide their conversations with patients.