摘要
超声是一种安全、无创的成像方式,随着超声成像技术不断发展,超声诊断成为各个临床领域的重要成像技术之一。同时,近年来数字医疗蓬勃发展,人工智能擅长自动识别复杂模式并为成像数据提供定量评估。传统的超声技术与人工智能结合正在成为研究热点。本文总结了人工智能(尤其是深度学习技术)在超声领域的应用现状及研究进展,并展望了未来的发展前景及挑战。
Ultrasound is a safe,non-invasive imaging modality and as ultrasound imaging continues to develop,diagnostic ultrasound has become one of the key imaging techniques in various clinical areas.At the same time,digital healthcare has flourished in recent years,with artificial intelligence excelling at automatically recognising complex patterns and providing quantitative evaluation of imaging data.The combination of traditional ultrasound techniques with artificial intelligence is becoming a hot research topic.This paper summarises the current status and research progress in the application of artificial intelligence(especially deep learning techniques)in ultrasound,and looks at the future prospects and challenges.
作者
马延军
董云翔
杨澜
周煜萃
罗兆瑞
杨茹
MA Yanjun;DONG Yunxiang;YANG Lan;ZHOU Yucui;LUO Zhaorui;YANG Ru(The 3rd Clinical Department of China Medical University,Shenyang 110001,China;School of Intelligent Medicine,China Medical University,Shenyang 110001,China;School of Stomatology,China Medical University,Shenyang 110001,China;Department of Cardiovascular Ultrasound,the First Hospital of China Medical University,Shenyang 110001,China)
出处
《中国现代医生》
2022年第26期1-5,共5页
China Modern Doctor
基金
中国医科大学大学生创新创业训练计划资助项目(1111251314)。
关键词
人工智能
深度学习
超声医学
超声诊断
Artificial intelligence
Deep learning
Ultrasound medicine
Ultrasound diagnosis