Only a minority of responses from the AI voice assistants were related to CPR, and even among those, the quality of instructions varied significantly. The results indicate a concerning lack of consistency and accuracy in the CPR instructions provided by the AI voice assistants. The inclusion of an AI large language model (LLM) also adds value, as it reflects potential future capabilities of AI in this context. The study's methodology, involving interaction with widely used voice assistants like Amazon Alexa, Apple Siri, Google Assistant, and Microsoft Cortana, is relevant and appropriate for assessing their capabilities. The study findings highlight the limitations and challenges associated with the current state of AI voice assistants in delivering reliable CPR instructions. While the study sheds light on the potential of AI technology in aiding life-saving interventions, several critical aspects deserve further examination (1). The study aims to evaluate the effectiveness of various AI voice assistants in delivering accurate CPR instructions. This study addresses a important issue in the field of emergency medical care - the potential use of artificial intelligence (AI) voice assistants for providing CPR instructions during out-of-hospital cardiac arrest cases. Shared Decision Making and Communication.Scientific Discovery and the Future of Medicine.Health Care Economics, Insurance, Payment. Clinical Implications of Basic Neuroscience.Challenges in Clinical Electrocardiography.
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