• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Clin Infect Dis . Generative Artificial Intelligence-based Surveillance for Avian Influenza Across a Statewide Healthcare System

tetano

Editor, Senior Moderator
Clin Infect Dis


. 2025 Aug 13:ciaf369.
doi: 10.1093/cid/ciaf369. Online ahead of print. Generative Artificial Intelligence-based Surveillance for Avian Influenza Across a Statewide Healthcare System

Katherine E Goodman[SUP] 1 2 [/SUP], Seyed M Shams[SUP] 2 3 [/SUP], Laurence S Magder[SUP] 4 [/SUP], Jonathan D Baghdadi[SUP] 4 2 [/SUP], Daniel J Morgan[SUP] 4 [/SUP], Anthony D Harris[SUP] 4 2 [/SUP]



Affiliations
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.

Keywords: LLMs; avian influenza; generative AI; public health surveillance.

 
Back
Top Bottom