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Study Finds AI Viable Tool to Detect Changes in Patients' Mental Health


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This project builds on the USC Signal Analysis and Interpretation Lab's body of work in behavioral machine intelligence.

A study by researchers at the University of Southern California (USC) and University of California, Los Angeles, found machine learning artificial intelligence as accurate as physicians in detecting changes in clinical states from patients' speech.

Credit: Healthyplace.com

A study by University of Southern California (USC) and University of California, Los Angeles (UCLA) researchers found machine learning artificial intelligence (AI) is as accurate as physicians in detecting changes in clinical states from patients' speech.

Researchers at the USC Signal Analysis and Interpretation Lab (SAIL) helped analyze voice data from patients treated for mental illnesses like bipolar disorder, schizophrenia, and depression. Both patients and their doctors used the UCLA-hosted MyCoachConnect interactive voice and mobile tool to document their mental states via voicemail, which the collaborators analyzed with custom AI from SAIL that matched clinical states to clinicians' ratings.

UCLA's Armen Arevian said, "We hope this will help us better understand how our patients are doing and transform mental health care to be more personalized and proactive to what an individual needs."

From USC Viterbi News
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