MindBridge: A Multi-Modal AI Platform for Depression and Anxiety Risk Stratification

1. Developed an integrated multi-modal AI platform combining self-report instruments, ClinicalBERT free-text triage, facial affect classification, and EHR vitals with an XGBoost risk ensemble and SHAP attribution.
2. Implemented a 30-day Temporal Fusion Transformer (TFT) to accurately forecast PHQ-9 trajectories and symptom progression.
3. Designed a retrieval-augmented CBT chatbot featuring explicit safety refusal triggers and crisis-line escalation pathways (0 harmful responses on a 200-prompt benchmark).
4. Validated on a retrospective cohort of 4,820 patients, achieving state-of-the-art performance (AUROC 0.892, AUPRC 0.741, F1 0.842) with comprehensive demographic bias analysis and HIPAA-compliant architecture.