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Peer-Reviewed Publication
Ann Fam Med2025;23(1):60-65.January 27, 2025Journal Article

Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression.

Alexa Mazur1, Harrison Costantino2, Prentice Tom3, Michael P Wilson4, Ronald G Thompson4
1Kintsugi Mindful Wellness, Inc, San Francisco, California aam2213@columbia.edu.
2Department of Computer Science, University of California, Berkeley, California.
3Kintsugi Mindful Wellness, Inc, San Francisco, California.
4Departments of Psychiatry and Emergency Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas.

Abstract

PURPOSE: Mental health screening is recommended by the US Preventive Services Task Force for all patients in areas where treatment options are available. Still, it is estimated that only 4% of primary care patients are screened for depression. The goal of this study was to evaluate the efficacy of machine learning technology (Kintsugi Voice, v1, Kintsugi Mindful Wellness, Inc) to detect and analyz…

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