AI Detects Depression from Routine Primary Care Conversations with 85% Accuracy
Researchers analyzed 1,108 audio-recorded primary care visits to train AI models that detect depression from naturalistic dialogue. The best-performing model, combining Sentence-BERT with logistic regression, achieved high accuracy in identifying patients with PHQ-9 confirmed depression.