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Creators/Authors contains: "Brownstein, John_S"

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  1. ; ; ; (, The Journal of Infectious Diseases)
    Abstract Event-based surveillance systems have proven critical for early detection of disease outbreaks by analyzing informal data sources, and the integration of artificial intelligence (AI) offers new opportunities to enhance these capabilities at scale. We describe the Biothreats Emergence, Analysis and Communications Network (BEACON), a novel platform that combines a domain-adapted large language model with expert human oversight to provide rapid, contextualized outbreak reporting across the globe, while highlighting both the transformative potential and current limitations of AI-assisted disease surveillance. 
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