Artificial Intelligence (AI) is transforming the field of food analysis and nutritional surveillance by enabling rapid, accurate, and scalable data processing. From ensuring food safety and authenticity to enabling personalized nutrition strategies, AI technologies—such as machine learning, computer vision, and natural language processing—are being integrated into various stages of the food supply chain and health monitoring systems. This article explores the current applications of AI in food quality control, dietary assessment, food fraud detection, and public health surveillance. It also discusses the challenges related to data quality, algorithm transparency, and ethical concerns. Finally, the article highlights future directions, including the integration of AI with wearable sensors, blockchain, and precision nutrition to build smarter, more responsive food systems. The fusion of AI with nutrition science holds immense promise for improving population health, optimizing food production, and ensuring global food security.
