Large Language Models for Agricultural Injury Surveillance
Link
Description
Describes the use of large language models (LLMs) in automating a previously manual agricultural injury surveillance workflow. Discusses reliability, accuracy, costs, and remaining challenges.
Author(s)
Jacob Muller, Daniel Petti, Changying Li, et al.
Citation
Safety, 11(1), 15
Date
02/2025
Tagged as
Agricultural health and safety
· Injuries
· Technology for health and human services