AI-enhanced breast imaging: Where are we and where are we heading? Review
| Authors: | Bitencourt, A.; Daimiel Naranjo, I.; Lo Gullo, R.; Rossi Saccarelli, C.; Pinker, K. |
| Review Title: | AI-enhanced breast imaging: Where are we and where are we heading? |
| Abstract: | 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. © 2021 Elsevier B.V. |
| Keywords: | magnetic resonance imaging; breast neoplasms; ultrasound; mammography; artificial intelligence; deep learning |
| Journal Title: | European Journal of Radiology |
| Volume: | 142 |
| ISSN: | 0720-048X |
| Publisher: | Elsevier B.V |
| Date Published: | 2021-09-01 |
| Start Page: | 109882 |
| Language: | English |
| DOI: | 10.1016/j.ejrad.2021.109882 |
| PROVIDER: | scopus |
| PMCID: | PMC8387447 |
| PUBMED: | 34392105 |
| DOI/URL: | |
| Notes: | Review -- Export Date: 1 September 2021 -- Source: Scopus |
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