Management of nutrition in crisis based on artificial intelligence.

Introduction: A crisis is the result of natural or human disasters that can affect the health of a country. Therefore, managing the crisis as quickly and efficiently as possible has become a kind of goal; A goal that can be approached more with the help of artificial intelligence. In this research, one of the common scenarios in the crisis, i.e. lack of food, and how to manage it with the help of artificial intelligence have been investigated. Methods: In the present study, the keywords Nutrition, Artificial Intelligence, Disaster Management, Natural Disaster, and Nutrition Surveys were searched in PubMed, Google Scholar, and Scopus in the time range of 2014 to 2024. Results: One of the most important issues in the crisis is the management of nutritional needs. According to the experiences that have been made in this field so far; Different methods of management style can be implemented, one of the most recent of which is management based on artificial intelligence. Studies have shown that AI is useful in predicting the occurrence of disasters, and food insecurity and describing the current food situation. Another study points to AI's ability to recognize the nutritional needs of the population, which begins to make decisions with broader visibility and align with new nutritional guidelines by prioritizing age and high-risk groups, considering the region's policies and facilities. Conclusions: The use of artificial intelligence in crisis management, especially the management of food resources, has already been done successfully. Although it still has limitations. Fortunately, compared to traditional methods, it is faster and more efficient in decision-making and constantly develops. [ABSTRACT FROM AUTHOR]