肿瘤成像中的生成式人工智能：革命性的癌症检测和诊断。

Q2 Medicine

Oncotarget Pub Date : 2024-09-04 DOI:10.18632/oncotarget.28640

Yashbir Singh, Quincy A Hathaway, Bradley J Erickson

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引用次数: 0

摘要

生成式人工智能正在彻底改变肿瘤成像，提高癌症检测和诊断水平。这篇社论探讨了它对扩大数据集、提高图像质量和实现预测性肿瘤学的影响。我们讨论了伦理方面的考虑因素，并介绍了使用人工智能生成的数字双胞胎进行个性化癌症筛查的独特视角。这种方法可以优化筛查方案、改善早期检测并定制治疗计划。虽然挑战依然存在，但肿瘤成像中的生成式人工智能为推进癌症治疗和改善患者预后提供了前所未有的机遇。

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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 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.

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来源期刊

Oncotarget Oncogenes-CELL BIOLOGY

CiteScore

6.60

自引率

0.00%

发文量

129

审稿时长

1.5 months

期刊介绍： Information not localized