A new editorial was published in Oncotarget's Volume 15 on September 4, 2024, entitled, "Generative AI in oncological imaging: Revolutionizing cancer detection and diagnosis."
Generative AI is revolutionizing oncological imaging, enhancing cancer detection and diagnosis. This editorial explores its impact on expanding datasets, improving image quality, and advancing predictive oncology.
In their editorial, researchers Yashbir Singh, Quincy A. Hathaway and Bradley J. Erickson from the Department of Radiology, Mayo Clinic, in Rochester, Minnesota, discuss ethical considerations and offer a unique perspective on personalized cancer screening using AI-generated digital twins.
"As we navigate this exciting frontier, we must remain committed to ethical innovation, always keeping the patient at the center of our efforts."
Generative AI is poised to revolutionize oncological imaging, offering new hope in the fight against cancer. And while challenges remain, generative AI in oncological imaging offers unprecedented opportunities to advance cancer care and improve patient outcomes.
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Journal reference:
Singh, Y., et al. (2024). Generative AI in oncological imaging: Revolutionizing cancer detection and diagnosis. Oncotarget. doi.org/10.18632/oncotarget.28640.
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