AI equal to humans in text-message mental health trial
The authors tested whether natural language processing methods can detect and classify cognitive distortions in text messages between clinicians and people with serious mental illness as effectively as clinically trained human raters.Text messages were collected from 39 clients in a randomized controlled trial of a 12-week texting intervention.
Multiple NLP classification methods were applied to the same messages, and performance was compared.A tuned model that used bidirectional encoder representations from transformers achieved performance comparable to that of clinical raters in classifying texts with any distortion and superior to that of other models.
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