融合人工智能的食品安全风险评估模型构建与优化

中图分类号：TS201.6 文献标志码：A 文章编号：1674-0270（2025）34-0013-03

Construction and Optimization of Food Safety Risk Assessment Model Integrated with Artificial Intelligence

MEI Lei'， LIU Xinwei²， LIU Guixiang （1. Gaoxing Health Center，Lanshan District，RizhaoCity，Rizhao 276811，China; 2.Schoolof Public Health，Xinjiang Medical University， Urumqi 83oO17， China; 3.Rizhao Central Hospital，Rizhao 2768Oo， China）

Abstract： Food safety risk assessment is acore link in the modern public health system and is directly related to the physical healthand lifesafetyof people.Traditional risk assessment methodsare confronted with aseries of challenges suchas insufficientdata processingcapabilities，low targeting precision ofregulation，and lagging early warning mechanisms.This study systematically constructs a food safety risk asessment model integrating artificial intelligence technology.Byintegrating cuting-edge technologies suchasmachine learning，deep learning，blockchain and the Internet ofThings，a multi-level and inteligentriskassessmentandearly warning system is established.The research proposes adata-driven three-dimensional assessmentframework，includingahazard identificationlayer，arisk quantification layer，anda decisionsupport layer，andconducts in-depth critical analysis on technical botlenecks such as model interpretability， data standardization， and cross-domain collaboration.

Key Words： artificial intelligence; food safety; risk assessment; deep learning; interpretability

食品安全是关系国计民生的重大议题。（剩余4189字）