The role of artificial intelligence in disaster prediction and preparedness

Background and Aims: Artificial Intelligence (AI) has emerged as a transformative tool in disaster prediction and management, offering unprecedented capabilities in data analysis, pattern recognition, and decision-making. The purpose of this study is to investigating the role of artificial intelligence in disaster prediction and preparedness. Methods: The present study is a systematic review study conducted in ۲۰۲۵. International databases included PubMed, Scopus, Web of science and Google scholar, and Iran's national databases included the Scientific Database Sid and Magiran. In total, ۲۷۰۰ articles were retrieved. Finally, After applying the entry and exit criteria ۱۰ articles were included in the study and their results were analyzed. Results: Artificial Intelligence has become a powerful ally in disaster prediction, enabling faster, more accurate forecasts by leveraging vast amounts of data and complex algorithms. By incorporating machine learning, deep learning, real-time analytics, and data from diverse sources, AI systems can detect patterns and anomalies that traditional methods might miss. Artificial Intelligence plays a crucial role in managing disasters once they occur. AI technologies significantly enhance situational awareness, decision-making, and coordination during and after a disaster. From early warnings to real-time crisis mapping and automated logistics, AI enables faster, smarter, and more efficient disaster response mechanisms. AI-powered early warning systems analyze real-time data from weather stations, seismic networks, and IoT sensors to detect the onset of disasters. These systems issue alerts via mobile apps, text messages, and public sirens. For example, Google’s AI-based flood alert system sends localized warnings via Android phones in vulnerable regions, alerting millions in advance of rising water levels. Conclusion: This paper explored how Artificial Intelligence is revolutionizing disaster prediction and management by providing accurate forecasts, enhancing early warning systems, streamlining emergency responses, and optimizing recovery efforts. From machine learning models that predict earthquakes and floods to drones and robots aiding in search and rescue, AI technologies are proving invaluable in minimizing the human and economic toll of disasters. As the world faces increasingly complex and unpredictable threats, the integration of AI into disaster management is not just a technological advancement—it is a growing necessity.

کلیدواژه ها:

Artificial Intelligence ، Disaster Prediction ، Emergency Management