Generative AI in Cancer Imaging: Revolutionizing Detection & Diagnosis | Oncotarget

Oncotarget #published this #editorial on September 4, 2024, in Volume 15, entitled “Generative AI in oncological imaging: Revolutionizing cancer detection and diagnosis” by Yashbir Singh, Quincy A. Hathaway and Bradley J. Erickson from the Department of Radiology, Mayo Clinic, Rochester, MN. @MayoClinic
#cancer #ai #artificialintelligence #cancerscreening #imaging #oncology #spotlight #openaccess #openscience #peerreview #journal #publication #publishing #meded

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 AIgenerated 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 - cancer, generative AI, oncological imaging, personalized cancer screening

About Oncotarget

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.

Oncotarget is indexed and archived by PubMed/Medline, PubMed Central, Scopus, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

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