Editorial

AI in Nuclear Medical Applications: Challenges and Opportunities

Abstract

Over the last decade, there has been a notable and rapid advancement in artificial intelligence (AI), reflecting substantial progress in sophistication and problem-solving capabilities. This evolution has extended across various sectors, encompassing manufacturing, transportation, finance, education, and healthcare. Particularly noteworthy is AI's potential to drive progress in nuclear applications, science, and technology, raising ethical and legal considerations.
This academic paper, titled "AI in Nuclear Medical Applications: Challenges and Opportunities," undertakes a thorough exploration of the intricate relationship between AI and nuclear technology. Moving beyond a simple acknowledgment of AI's current capabilities, the paper delves into the nuanced landscape of challenges and opportunities within the realm of nuclear medical applications. It meticulously examines the ethical and legal dimensions inherent in this symbiotic relationship, emphasizing responsible and accountable utilization of AI in the nuclear domain.
The research focal point is the strategic deployment of AI capabilities in nuclear medicine, highlighting potential positive contributions to address contemporary challenges. From optimizing medical imaging methodologies to facilitating disease theranostics, the paper critically evaluates the transformative impact of AI on nuclear medical applications. By elucidating specific areas where AI has already demonstrated improvements, the research aims to provide a comprehensive understanding of the current landscape. Keywords include Artificial Intelligence, Radiomics, Radiotherapy, Medical Imaging, Radiopharmacy, and Disease Theranostics.

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Files
IssueVol 11 No 2 (2024) QRcode
SectionEditorial
DOI https://doi.org/10.18502/fbt.v11i2.15330
Keywords
Artificial Intelligence Radiomics Radiotherapy Medical Imaging Radiopharmacy Disease Theranostics
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
1.
Izadpanah.K M, Jalili A, Ghaderzadeh M, Gheisari M. AI in Nuclear Medical Applications: Challenges and Opportunities. Frontiers Biomed Technol. 2024;11(2):158-161.