人工智能在乳腺癌超声诊疗中的应用进展

Application progress of artificial intelligence in the ultrasound diagnosis and treatment of breast cancer

超声是乳腺癌临床诊疗中最常用的影像学手段。随着人工智能(AI)的发展,机器学习、深度学习和卷积神经网络已用于开发基于超声影像特征的辅助诊断及预测工具。就AI在乳腺癌的筛查和诊断,及其在腋窝淋巴结转移、分子分型、新辅助化疗疗效的预测等超声诊疗中的应用进展进行综述。

Ultrasound is the most commonly used imaging method in the clinical diagnosis and treatment of breast cancer.As artificial intelligence(AI)has developed,various AI techniques,including machine learning,deep learning,and convolutional neural networks,have been used to create auxiliary diagnosis and prediction tools based on ultrasound imaging features.This article reviews the application advances of AI in ultrasound evaluation of breast cancer,including screening,diagnosis,axillary lymph node metastasis,molecular subtyping,and prediction of efficacy of neoadjuvant chemotherapy.