Editing Ai Mental Health Dx (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''PHQ-9''' — Patient Health Questionnaire-9; the standard 9-item depression screening tool; AI automates scoring from text.
* '''GAD-7''' — Generalized Anxiety Disorder 7-item scale; widely used anxiety screener.
* '''Columbia Suicide Severity Rating Scale (C-SSRS)''' — Standardized suicide risk assessment tool; AI extracts relevant information from clinical notes.
* '''NLP for mental health''' — Applying text analysis to clinical notes, social media, and patient messages to detect mental health signals.
* '''Speech markers of depression''' — Depressed individuals speak more slowly, with longer pauses, flattened prosody, and fewer positive words; AI detects these patterns.
* '''Facial action units (AU)''' — Standardized facial muscle movements; AI analyzes AUs during video sessions to detect affect and depression severity.
* '''Crisis detection''' — NLP flagging urgent suicidality risk in patient messages or clinical documentation.
* '''Woebot''' — A CBT-based mental health chatbot; over 1.5M users; clinical evidence for depression and anxiety symptom reduction.
* '''Digital biomarker (mental health)''' — Passively collected behavioral data (phone usage, movement, sleep patterns) correlating with mental health status.
* '''Ecological Momentary Assessment (EMA)''' — Repeatedly sampling patient mood, symptoms, and context in real time via smartphone.
* '''Passive sensing (mental health)''' — Using phone sensors (GPS, accelerometer, microphone — ambient audio) to infer mental state without active user input.
* '''Social media mental health''' — Mining Twitter, Reddit (/r/depression, /r/anxiety) for population-level mental health signals.
* '''HIPAA/GDPR (mental health AI)''' — Mental health data has the highest privacy sensitivity; extra legal protections apply.
* '''Therapeutic AI''' — AI systems providing therapeutic content (CBT exercises, mindfulness, psychoeducation) not diagnosis.
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