The AI dispatcher copilot: beyond cardiac arrest recognition to dynamic large language model-assisted Tele-CPR
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The authors aim to explore the potential of a dynamic, large language model-assisted Tele-CPR system, termed the "AI dispatcher copilot," to enhance out-of-hospital cardiac arrest (OHCA) recognition and response. They propose that integrating multimodal AI capabilities can improve decision-making and reduce cognitive load for emergency dispatchers, ultimately aiming to improve clinical outcomes. The paper emphasizes the need for ethical governance and validation to ensure the effective implementation of this innovative approach in clinical practice.
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