AI in dosimetry

    Research outputpeer-review

    Abstract

    AI is becoming deeply integrated into many aspects of society, transforming industries from healthcare to finance. As AI continues to evolve, its influence on daily life and the global economy is expanding, reshaping the way people work, communicate, and live. Artificial Intelligence (AI) is also starting to play a role in radiation protection. Of course there are many applications being used and coming up in the medical field. In other fields of radiation protection AI is less used, but it is emerging. This became clear in a recent workshop that was organized by PIANOFORTE. The participants discussed current and future artificial intelligence implementations in various sectors of radiation protection that include medical applications, radiation dosimetry, radiobiology, radioecology, emergency preparedness, response and recovery. This talk will focus on the potential future role of AI in dosimetry.
    Results from a literature review will be presented which shows that AI has the potential to revolutionize dosimetry of ionizing radiation. Traditional dosimetry methods often rely on physical detectors, but AI can also aid in the development of new dosimetric technologies, such as camera-based systems or advanced wearable sensors, providing continuous, real-time dose monitoring in diverse settings. By integrating AI with simulations, such as Monte Carlo methods, it becomes possible to predict radiation doses more precisely, considering various environmental and biological factors.
    Original languageEnglish
    Title of host publicationISTISAN Congressi 24/C4
    Subtitle of host publicationEuropean Radiation Protection Week 2024. Aurelia Auditorium Congress Center. Roma, November 11-15, 2024
    Pages241-241
    Number of pages1
    StatePublished - Nov 2024
    Event2024 - ERPW: European radiation protection week - Aurelia Auditorium Congress Center, Rome
    Duration: 11 Nov 202415 Nov 2024

    Publication series

    NameISTISAN Congressi
    Number24/C4
    ISSN (Print)0393-5620
    ISSN (Electronic)2384-857X

    Conference

    Conference2024 - ERPW
    Country/TerritoryItaly
    CityRome
    Period2024-11-112024-11-15

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