Medical Economics January 17, 2025
Austin Littrell

Key Takeaways

  • The USPSTF recommended depression screening in adults, but only 4.1% of primary care patients are screened.
  • Kintsugi Voice Biomarker Technology uses machine learning to analyze speech, identifying depression with 71% sensitivity and 74% specificity.
  • The tool flagged 20% of cases as uncertain, suggesting further clinical evaluation.
  • It can support primary care screenings without adding burden, but further studies are needed to assess workflow integration and other influencing conditions.

A machine learning tool designed to analyze vocal patterns for signs of depression successfully identified depression in 71% of patients who had it.

In 2016, the U.S. Preventive Services Task Force (USPSTF) recommended screening for depression in the general adult population when adequate systems are in place to...

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