Depression impacts an estimated 18 million Americans each year, yet depression screening rarely occurs in the outpatient setting. A study appearing in The Annals of Family Medicine evaluated an AI-based machine learning biomarker tool that uses speech patterns to detect moderate to severe depression, aiming to improve access to screening in primary care settings.
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