Issue |
SHS Web Conf.
Volume 214, 2025
CIFEM’2024 - 4e édition du Colloque International sur la Formation et l’Enseignement des Mathématiques et des Sciences & Techniques
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Article Number | 01006 | |
Number of page(s) | 20 | |
DOI | https://doi.org/10.1051/shsconf/202521401006 | |
Published online | 28 March 2025 |
Comprehensive Review on the Impact of Artificial Intelligence on Diagnosis and Personalized Treatment in Nuclear Medicine
1 Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Department of Physics, 24000, El Jadida, Morocco
2 Regional Center of the Trades of Education and Training, Casablanca-Settat, Morocco
* Corresponding author: arhouni.f@ucd.ac.ma
Artificial intelligence (AI) continues to advance nuclear medicine in all areas, including treatment planning, resource allocation, and precision. The imaging techniques powered by AI enable faster and more accurate diagnosis of diseases and machine learning models improve individual-specific treatment dosimetry. Additionally, AI increases operational efficiency, reduces costs, and lower radiation exposure for patients. Despite these improvements, issues such as ethical concerns, bias in data, and clinical integration difficulties still exist. This review paper discusses the role of AI in changing nuclear medicine practice, emphasizing the pros and cons, and the anticipated future. As the field proves its further value, multidisciplinary collaborations are invited to help ensure AI’s value for future nuclear medicine diagnosis and treatment.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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