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.
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 language | English |
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Title of host publication | ISTISAN Congressi 24/C4 |
Subtitle of host publication | European Radiation Protection Week 2024. Aurelia Auditorium Congress Center. Roma, November 11-15, 2024 |
Pages | 241-241 |
Number of pages | 1 |
State | Published - Nov 2024 |
Event | 2024 - ERPW: European radiation protection week - Aurelia Auditorium Congress Center, Rome Duration: 11 Nov 2024 → 15 Nov 2024 |
Publication series
Name | ISTISAN Congressi |
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Number | 24/C4 |
ISSN (Print) | 0393-5620 |
ISSN (Electronic) | 2384-857X |
Conference
Conference | 2024 - ERPW |
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Country/Territory | Italy |
City | Rome |
Period | 2024-11-11 → 2024-11-15 |