The provided paper introduces PHIA (Personal Health Insights Agent), a novel system leveraging large language model agents to analyze wearable health data. PHIA utilizes code generation and information retrieval to provide personalized and actionable health insights to users. The research includes the creation of benchmark datasets for evaluating such agents and demonstrates PHIA's superior performance in answering health-related questions compared to baseline models. This work highlights the potential of LLM agents in transforming raw wearable data into meaningful guidance for improving individual well-being.

Sources: https://arxiv.org/abs/2406.06464