AI Governance and Oversight

Chorus incorporates governance mechanisms to ensure that machine learning models are used responsibly within clinical workflows.

AI-assisted insights generated by the system are designed to support clinician decision-making rather than replace it. All AI outputs remain advisory and require clinician validation before any clinical action is taken.

Governance safeguards include:

• Transparent model outputs
• Traceability to underlying biosignal observations
• Human review before intervention
• Structured documentation of AI-assisted findings

This approach helps healthcare organizations maintain appropriate oversight of automated decision-support capabilities.