乳房成像
模态(人机交互)
工作流程
乳腺癌
乳腺摄影术
计算机科学
医学物理学
人工智能
多样性(控制论)
医学
癌症
内科学
数据库
作者
Juan C. Villa‐Camacho,Masoud Baikpour,Shinn‐Huey S. Chou
出处
期刊:Journal of breast imaging
[Oxford University Press]
日期:2022-12-29
卷期号:5 (1): 11-20
被引量:7
摘要
Abstract 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.
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