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Operations & systems

AI dispatcher copilot concept for Tele-CPR

The AI dispatcher copilot: beyond cardiac arrest recognition to dynamic large language model-assisted Tele-CPR
Resuscitation · Added 29 July 2026

Concept paper proposes an AI dispatcher copilot using multimodal large language models for dynamic Tele-CPR, integrating acoustic agonal breathing detection, adaptive instruction generation, real-time video CPR coaching with compression feedback, and automated first responder and AED coordination.

Study type
Other
Design
Narrative synthesis / concept paper
Participants
Not reported
Main finding
Proposes an LLM-enabled 'AI dispatcher copilot' integrating agonal breathing detection, adaptive instruction generation, video CPR coaching and automated first responder/AED coordination, aligned with ERC 2025 guidelines.
Caveat
Purely conceptual with no patient data; requires prospective validation and ethical governance before use.
Bottom line
Context only

Learning goal

Understand how emerging artificial intelligence tools could support dispatcher-assisted CPR and coordination in Australian systems.

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