Abstract
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.
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Waste Management and Disposal,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Reference61 articles.
1. Ancelet S, Belloni M, Laurent O, Guihenneuc C. 2021. Estimation d’un risqué de cancer radio-induit en situation de co-expositions professionnelles : cas des mineurs d’uranium français. In: SFRP e-Congress live 18 June 2021.
2. AP–HP. 2019. Les hôpitaux Avicenne et Cochin ont testé, un dispositif d’aide à la détection précoce du cancer colorectal basé sur l’intelligence artificielle. AP–HP Press Service.
3. Deep learning dose prediction for IMRT of esophageal cancer: The effect of data quality and quantity on model performance
4. Radioprotection : quel avenir ?
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