Artificial intelligence and radiation protection. A game changer or an update?

التفاصيل البيبلوغرافية
العنوان: Artificial intelligence and radiation protection. A game changer or an update?
المؤلفون: S. Andresz, A Zéphir, J. Bez, M. Karst, J. Danieli
بيانات النشر: arXiv, 2023.
سنة النشر: 2023
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Nuclear Energy and Engineering, Renewable Energy, Sustainability and the Environment, Computer Science - Artificial Intelligence, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, Safety, Risk, Reliability and Quality, Waste Management and Disposal, Machine Learning (cs.LG)
الوصف: Artificial intelligence (AI) is regarded as one of the most disruptive technology of the century and with countless applications. What does it mean for radiation protection? This article describes the fundamentals of machine learning (ML) based methods and presents the inaugural applications in different fields of radiation protection. It is foreseen that the usage of AI will increase in radiation protection. Consequently, this article explores some of the benefits and also the potential barriers and questions, including ethical ones, that can come out. The article proposes that collaboration between radiation protection professionals and data scientist experts can accelerate and guide the development of the algorithms for effective scientific and technological outcomes.
DOI: 10.48550/arxiv.2306.06148
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9244daa918e9dbb4bcffa99bfe458e2
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....a9244daa918e9dbb4bcffa99bfe458e2
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.48550/arxiv.2306.06148