Abstract
Increasing concerns for global environments has emphasized the need for low-carbon energy. Nuclear energy stands out as a promising energy source in many countries and thereupon, has been extensively investigated. However, as possibility of radiation disasters exists, research for radiation emergency response also have been demanded. In recent years, artificial intelligence (AI) is actively applied as an effective approach for the management of radiation emergencies. This paper presents a systematic review on the successful AI applications in radiation emergency response. Specifically, this study provides the integration of AI into different disaster management phases: Mitigation, Preparedness, Response, Recovery. Based on the comprehensive summary, current limitations and future research directions that significantly advance the radiation emergency response system are also discussed.
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