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

IF 1.3 3区 农林科学 Q2 VETERINARY SCIENCES American journal of veterinary research Pub Date : 2025-01-29 DOI:10.2460/ajvr.24.09.0283
Oluwaseun Akinyede, Valeriia Yustyniuk, Sylvester Ochwo, Mabel Aworh, Melinda Wilkins
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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.

Methods: 4 veterinary public health professionals from diverse linguistic and cultural backgrounds identified top AMR contributors and audiences in their countries. A fifth person developed and refined ChatGPT-4 prompts to create AMR awareness content in US English, Ukrainian, Luganda, Ugandan English, Yoruba, and Nigerian Pidgin, using behavior change models. The content was rated for accuracy, applicability, language, cultural fit, originality, clarity, persuasiveness, and overall quality.

Results: ChatGPT-4 created 2 content types (long and short) per language for social media, television ads, and WhatsApp. Quality ranged from poor to excellent. Shorter content outperformed longer ones. Performance varied across languages, with abysmal results for Yoruba and excellent for Pidgin. Problematic issues like simplistic language and inappropriate terminology were identified.

Conclusions: ChatGPT-4 has the potential to generate content and training aids. However, the varied quality requires professional verification. Future research should optimize prompts and incorporate expert and audience insights for better results. These preliminary findings should be interpreted cautiously due to the small sample size and subjectivity.

Clinical relevance: ChatGPT-4 can quickly create tailored content for global AMR awareness. More research is needed to explore generative AI for One Health messaging.

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来源期刊
CiteScore
1.70
自引率
10.00%
发文量
186
审稿时长
3 months
期刊介绍: The American Journal of Veterinary Research supports the collaborative exchange of information between researchers and clinicians by publishing novel research findings that bridge the gulf between basic research and clinical practice or that help to translate laboratory research and preclinical studies to the development of clinical trials and clinical practice. The journal welcomes submission of high-quality original studies and review articles in a wide range of scientific fields, including anatomy, anesthesiology, animal welfare, behavior, epidemiology, genetics, heredity, infectious disease, molecular biology, oncology, pharmacology, pathogenic mechanisms, physiology, surgery, theriogenology, toxicology, and vaccinology. Species of interest include production animals, companion animals, equids, exotic animals, birds, reptiles, and wild and marine animals. Reports of laboratory animal studies and studies involving the use of animals as experimental models of human diseases are considered only when the study results are of demonstrable benefit to the species used in the research or to another species of veterinary interest. Other fields of interest or animals species are not necessarily excluded from consideration, but such reports must focus on novel research findings. Submitted papers must make an original and substantial contribution to the veterinary medicine knowledge base; preliminary studies are not appropriate.
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