Speech as a biomarker for supported diagnosis of major depressive disorder using self-supervised representations

Nature Communications, Published online: 15 June 2026; doi:10.1038/s41467-026-74122-9 A speech-based AI model detects depression from voice recordings with high accuracy. The deep learning model achieves 93% accuracy in internal validation and 88% in external validation, demonstrating potential as an objective screening tool.