Preliminary exploration of ChatGPT-4 shows the potential of generative artificial intelligence for culturally tailored, multilingual antimicrobial resistance awareness messaging.

Journal: American journal of veterinary research
PMID: 39879655

Abstract

OBJECTIVE: Antimicrobial resistance (AMR), a global threat driven by factors such as improper antimicrobial use in humans and animals, is projected to cause 10 million annual deaths by 2050. For behavior change, public health messages must be tailored for diverse audiences. Generative AI may have the potential to create culturally and linguistically suited AMR awareness messages. This study assesses ChatGPT-4's capability for crafting such content.

Authors

  • Oluwaseun Akinyede
    Center for Animal Health and Food Safety, Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN.
  • Valeriia Yustyniuk
    Center for Animal Health and Food Safety, Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN.
  • Sylvester Ochwo
    Center for Animal Health and Food Safety, Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN.
  • Mabel Aworh
    Department of Biological and Forensic Sciences, Fayetteville State University, Fayetteville, NC.
  • Melinda Wilkins
    Center for Animal Health and Food Safety, Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Saint Paul, MN.

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