AI-enhanced breast imaging: Where are we and where are we heading?
AI-enhanced breast imaging: Where are we and where are we heading?
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人工智能增强乳腺成像：我们在哪里，我们在哪里？
DOI：
10.1016/j.ejrad.2021.109882
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发表时间：
2021-09
影响因子：
3.3
通讯作者：
Pinker K
中科院分区：
文献类型：
--
作者：
Bitencourt A;Daimiel Naranjo I;Lo Gullo R;Rossi Saccarelli C;Pinker K
影像分析的重大进展以及能够提取多个影像参数并将其与不同临床结果相关联的高通量方法的发展，为医学研究带来了一个新方向。影像组学和人工智能（AI）研究正在迅速发展，并且在乳腺影像方面有许多潜在应用，例如乳腺癌风险预测、病变检测与分类、影像基因组学以及治疗反应和临床结果的预测。人工智能已应用于不同的乳腺影像模式，包括乳腺X线摄影、超声和磁共振成像，应用于不同的临床场景。人工智能工具在乳腺影像中的应用拥有前所未有的机遇，可以更好地从影像数据中获取临床价值，并重塑我们对患者的诊疗方式。本研究的目的是综述人工智能增强的乳腺影像在临床实践中的现有知识和未来应用。
Significant advances in imaging analysis and the development of high-throughput methods that can extract and correlate multiple imaging parameters with different clinical outcomes have led to a new direction in medical research. Radiomics and artificial intelligence (AI) studies are rapidly evolving and have many potential applications in breast imaging, such as breast cancer risk prediction, lesion detection and classification, radiogenomics, and prediction of treatment response and clinical outcomes. AI has been applied to different breast imaging modalities, including mammography, ultrasound, and magnetic resonance imaging, in different clinical scenarios. The application of AI tools in breast imaging has an unprecedented opportunity to better derive clinical value from imaging data and reshape the way we care for our patients. The aim of this study is to review the current knowledge and future applications of AI-enhanced breast imaging in clinical practice.
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