AI can analyze language, speech patterns and conversational cues that may be difficult to notice during a routine consultation.
Changes in emotional language, responses and speech patterns may provide additional clues for depression screening.
Researchers are testing AI models on recordings and transcripts of real or simulated clinical conversations to identify depression-related patterns.
AI-based detection is still being studied. It can potentially support screening and clinical decision-making, but it should not replace professional assessment.
AI may help clinicians identify people who could benefit from further depression screening and evaluation.