Assist AI sits alongside your live session — reading facial expressions, voice tone, and speech to tell doctor and patient apart, suggest the next question, and turn the conversation into a complete clinical report the moment the session ends.
Auto-generates SOAP notes and a 10-section clinical assessment — diagnosis, differentials, risk, and treatment plan — aligned to DSM-5-TR / ICD-11.
Recognizes doctor vs. patient voice and combines facial expression, action units, voice tone, and text sentiment in real time.
Supervisors review trainee sessions with AI-scored feedback, while doctors log and verify field hours right from the dashboard.
From live session to signed-off report, Assist AI’s EMR Copilot runs the whole clinical workflow with precision.
Start an EMR Copilot session and capture the live conversation through any device's mic & camera.
AI tells doctor and patient voices apart, reads facial expressions & tone, and suggests the next question live.
Generates SOAP notes and a 10-section detailed assessment in your chosen report language, DSM-5-TR / ICD-11 aligned.
Supervisors review and sign off trainee sessions while field hours are logged and verified automatically.
Three models running in sync during every session, feeding one clinical report.
Tracks facial expressions and action units in real-time to help assess a patient's mental state.
Uses deep learning across 7 core emotions and blink/gaze tracking to extract micro-expression insights unavailable to the naked eye.
Distinguishes doctor from patient by voiceprint, then analyzes tone to derive emotional insights.
Processes pitch, tone, and pauses to detect stress and sentiment — while a separate voice model keeps doctor and patient audio cleanly separated.
Combines facial, voice, and text analysis into SOAP notes plus a 10-section detailed assessment.
Delivers diagnosis, differentials, risk assessment, and a treatment plan — ready for immediate clinical review, in the doctor's chosen language.
One platform for live sessions, clinical documentation, and the supervision trainees need to get licensed.
"No more burnout. No more inefficiency.
Doctors regain time, patients receive better care."