Bahl Manisha
Massachusetts General Hospital, Department of Radiology, Boston, MA.
J Breast Imaging. 2020 Aug;2(4):304-314. doi: 10.1093/jbi/wbaa033. Epub 2020 Jun 19.
Artificial intelligence (AI) is a branch of computer science dedicated to developing computer algorithms that emulate intelligent human behavior. Subfields of AI include machine learning and deep learning. Advances in AI technologies have led to techniques that could increase breast cancer detection, improve clinical efficiency in breast imaging practices, and guide decision-making regarding screening and prevention strategies. This article reviews key terminology and concepts, discusses common AI models and methods to validate and evaluate these models, describes emerging AI applications in breast imaging, and outlines challenges and future directions. Familiarity with AI terminology, concepts, methods, and applications is essential for breast imaging radiologists to critically evaluate these emerging technologies, recognize their strengths and limitations, and ultimately ensure optimal patient care.
人工智能（AI）是计算机科学的一个分支，致力于开发能够模拟人类智能行为的计算机算法。人工智能的子领域包括机器学习和深度学习。人工智能技术的进步带来了一些技术，这些技术可以提高乳腺癌的检测率，提高乳腺成像实践中的临床效率，并指导有关筛查和预防策略的决策。本文回顾了关键术语和概念，讨论了用于验证和评估这些模型的常见人工智能模型和方法，描述了乳腺成像中新兴的人工智能应用，并概述了挑战和未来方向。熟悉人工智能术语、概念、方法和应用对于乳腺成像放射科医生至关重要，以便他们能够批判性地评估这些新兴技术，认识其优势和局限性，并最终确保为患者提供最佳护理。
