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Generative Artificial Intelligence-based Surveillance for Avian Influenza Across a Statewide Healthcare System
Katherine E Goodman1,2, Seyed M Shams2,3, Laurence S Magder1
1Department of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore, Maryland, USA.
Abstract:
Among all 2024 emergency department visits for acute respiratory illness or conjunctivitis across a statewide healthcare system (n = 13 494), generative artificial intelligence-based surveillance with adjunctive human review rapidly and cost-effectively identified patients with potential avian influenza exposure. Generative artificial intelligence-based approaches may offer a promising opportunity for expanding public health surveillance in clinical settings.
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