人工智能
机器人学
计算机科学
软件部署
数据科学
领域(数学)
稀缺
人机交互
机器人
软件工程
数学
纯数学
经济
微观经济学
作者
Yuan Bi,Zhongliang Jiang,Felix Duelmer,Daoping Huang,Nassir Navab
出处
期刊:Annual review of control, robotics, and autonomous systems
[Annual Reviews]
日期:2024-01-02
卷期号:7 (1)
标识
DOI:10.1146/annurev-control-091523-100042
摘要
This article reviews recent advances in intelligent robotic ultrasound imaging systems. We begin by presenting the commonly employed robotic mechanisms and control techniques in robotic ultrasound imaging, along with their clinical applications. Subsequently, we focus on the deployment of machine learning techniques in the development of robotic sonographers, emphasizing crucial developments aimed at enhancing the intelligence of these systems. The methods for achieving autonomous action reasoning are categorized into two sets of approaches: those relying on implicit environmental data interpretation and those using explicit interpretation. Throughout this exploration, we also discuss practical challenges, including those related to the scarcity of medical data, the need for a deeper understanding of the physical aspects involved, and effective data representation approaches. We conclude by highlighting the open problems in the field and analyzing different possible perspectives on how the community could move forward in this research area. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 7 is May 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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