Artificial Intelligence for Breast US
| Autor: | Juan C Villa-Camacho, Masoud Baikpour, Shinn-Huey S Chou |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Breast Imaging. 5:11-20 |
| ISSN: | 2631-6129 2631-6110 |
| DOI: | 10.1093/jbi/wbac077 |
| Popis: | US is a widely available, commonly used, and indispensable imaging modality for breast evaluation. It is often the primary imaging modality for the detection and diagnosis of breast cancer in low-resource settings. In addition, it is frequently employed as a supplemental screening tool via either whole breast handheld US or automated breast US among women with dense breasts. In recent years, a variety of artificial intelligence systems have been developed to assist radiologists with the detection and diagnosis of breast lesions on US. This article reviews the background and evidence supporting the use of artificial intelligence tools for breast US, describes implementation strategies and impact on clinical workflow, and discusses potential emerging roles and future directions. |
| Databáze: | OpenAIRE |
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