The research article titled “AI-detected auditory findings of depression and suicide risk,” co-authored by our faculty member Asst. Prof. Dr. Irmak Uzun Bayar, was published online on July 10, 2026, in the SSCI-indexed Brazilian Journal of Psychiatry.
The study explores the potential of AI-assisted voice analysis in assessing depression and suicide risk. By analyzing voice recordings from 90 participants divided into three groups using machine learning methods, the research provides findings on the potential use of vocal features as indicators to support mental health assessments.
We congratulate our colleague and the research team on their scholarly contribution and wish them continued success in their academic work.
Access the article: https://doi.org/10.47626/1516-4446-2025-4419
