TLDR: A groundbreaking study in Maryland utilized generative artificial intelligence to uncover previously undetected avian influenza exposure risks within emergency departments. The AI-powered surveillance, complemented by human review, efficiently identified potential cases among thousands of patient visits for respiratory illnesses and conjunctivitis, highlighting a promising new approach for public health surveillance.
In a significant advancement for public health surveillance, researchers in Maryland have successfully deployed generative artificial intelligence (AI) to identify previously undetected exposure risks to avian influenza (bird flu) within the state’s emergency departments. The study, published on August 13, 2025, and widely reported on August 25, 2025, demonstrates the potential of AI-based approaches to enhance the speed and cost-effectiveness of disease detection in clinical settings.
The research, conducted across a statewide healthcare system, involved analyzing 13,494 emergency department visits in 2024 for acute respiratory illness or conjunctivitis. By employing generative AI-based surveillance, coupled with adjunctive human review, the team was able to rapidly and efficiently pinpoint patients with potential avian influenza exposure that might otherwise have gone unnoticed. This innovative method offers a proactive strategy for public health officials to monitor and respond to emerging infectious disease threats.
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The study’s affiliations include the Department of Epidemiology and Public Health at The University of Maryland School of Medicine, the University of Maryland Institute for Health Computing, and the University of Maryland Medical System, all based in Baltimore and North Bethesda, Maryland. The findings underscore the critical role that advanced technologies like large language models (LLMs) and generative AI can play in expanding the scope and efficacy of public health surveillance, particularly for highly contagious diseases like avian influenza. This development is seen as a promising opportunity to bolster preparedness and response mechanisms against potential outbreaks.
