Abstract:

With the acceleration of industrialization，occupational diseases have become increasingly prominent，posing a serious threat to the health of workers. Traditional methods for the prevention and treatment of occupational diseases face challenges such as insufficient data integration，low diagnostic efficiency，and lack of targeted preventive measures. Large language model（LLM），which is artificial intelligence model based on deep learning technology，can understand natural language and generate logical content through the deep analysis and training of massive amounts of data. Faced with the heavy task of occupational disease prevention and treatment，LLM offers new possibilities for optimizing traditional occupational disease prevention and treatment. By integrating vast amounts of data，LLM can facilitate intelligent diagnosis and early warning of occupational diseases and provide personalized occupational health education and training for workers，potentially bringing revolutionary changes to the field of occupational disease prevention and treatment. This paper aims to explore the application advantages of LLM in occupational disease prevention and treatment，its anticipated application scenarios，the challenges it may face，and propose future prospects.

Key words: Large language model, Occupational disease prevention and treatment, Advantage, Challenge