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Editorial
. 2024 Sep 4:15:607-608.
doi: 10.18632/oncotarget.28640.

Generative AI in oncological imaging: Revolutionizing cancer detection and diagnosis

Yashbir Singh, Quincy A Hathaway, Bradley J Erickson
Editorial

Generative AI in oncological imaging: Revolutionizing cancer detection and diagnosis

Yashbir Singh et al. Oncotarget. .

Abstract

Generative AI is revolutionizing oncological imaging, enhancing cancer detection and diagnosis. This editorial explores its impact on expanding datasets, improving image quality, and enabling predictive oncology. We discuss ethical considerations and introduce a unique perspective on personalized cancer screening using AI-generated digital twins. This approach could optimize screening protocols, improve early detection, and tailor treatment plans. While challenges remain, generative AI in oncological imaging offers unprecedented opportunities to advance cancer care and improve patient outcomes.

Keywords: generative AI; oncological imaging; personalized cancer screening.

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Conflict of interest statement

CONFLICTS OF INTEREST

Authors have no conflicts of interest to declare.

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