Possible role of artificial intelligence in radioprotection

Pk, Indraganti; Namita, I; K, Anoushka

doi:10.15761/fdccr.1000133

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Radiobiology and Epidemiology1

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2022

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“…Radiation biology aims to quantify the risk after an exposure, although the number of biological manifestations, their interactions and co-founding factors make the response difficult to grasp. Initiatives to use ML to capture the dose-effect relationship have been made at different scales: single-cell (Milliat, 2020), tissues and organs (Indraganti, 2019).…”

Section: Radiobiology and Epidemiologymentioning

confidence: 99%

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

et al. 2022

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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.

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Section: Radiobiology and Epidemiologymentioning

confidence: 99%