TY  - JOUR
PY  - 2023//
TI  - The potential of AI and ChatGPT in improving agricultural injury and illness surveillance programming and dissemination
JO  - Journal of agromedicine
A1  - Weichelt, Bryan P.
A1  - Pilz, Matthew
A1  - Burke, Richard
A1  - Puthoff, David
A1  - Namkoong, Kang
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - Generative Artificial Intelligence (AI) provides unprecedented opportunities to improve injury surveillance systems in many ways, including the curation and publication of information related to agricultural injuries and illnesses. This editorial explores the feasibility and implication of ChatGPT integration in an international sentinel agricultural injury surveillance system, AgInjuryNews, highlighting that AI integration may enhance workflows by reducing human and financial resources and increasing outputs. In the coming years, text intensive natural language reports in AgInjuryNews and similar systems could be a rich source for data for ChatGPT or other more customized and fine-tuned LLMs. By harnessing the capabilities of AI and NLP, teams could potentially streamline the process of data analysis, report generation, and public dissemination, ultimately contributing to improved agricultural injury prevention efforts, well beyond any manually driven efforts.<p />  <p>Language: en</p>
LA  - en
SN  - 1059-924X
UR  - http://dx.doi.org/10.1080/1059924X.2023.2284959
ID  - ref1
ER  -