文献类型：期刊文献

英文题名：Intelligent blood collection robot: key technologies, clinical applications, and future challenges

作者：Wang, Yaqing[1];Ruan, Huajiang[2,3];Ruan, Yaoqin[1];Li, Qi[2,3];Wang, Chen[2,3];Fang, Zhaoxi[2,3]

机构：[1]Shaoxing Univ, Shaoxing Municipal Hosp, Dept Transfus Med, Affiliated Hosp, Shaoxing, Peoples R China;[2]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing, Peoples R China;[3]Shaoxing Univ, Inst Artificial Intelligence, Shaoxing, Peoples R China

年份：2025

卷号：13

外文期刊名：FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY

收录：SCI-EXPANDED(收录号：WOS:001507330300001)、、EI(收录号：20252418615949)、Scopus(收录号：2-s2.0-105008010048)、WOS

基金：The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Zhejiang Provincial Basic Public Welfare Research Project under grant no. LGF22F010006.

语种：英文

外文关键词：intelligent blood collection robot; vascular recognition; machine vision; puncture control; clinical application

外文摘要：Blood collection is one of the key steps in blood testing. The use of intelligent blood collection robots to achieve automated blood collection can effectively reduce the workload of medical staff, improve the efficiency and accuracy of blood collection, and improve the patient experience, and has received extensive attention from academic and industrial circles in recent years. This paper aims to provide a comprehensive introduction to the key technologies, latest research progress, current clinical application status, and future development opportunities and challenges of intelligent blood collection robots. The paper introduces the key technologies that can achieve autonomous blood collection, including blood vessel recognition and positioning technology, mechanical arm design, and puncture control technology. Among them, blood vessel recognition and positioning is one of the key supporting technologies for intelligent blood collection, which can be realized by using technologies such as machine vision, near-infrared imaging, and ultrasound imaging. In addition, the paper also introduces some existing commercial intelligent blood collection robots and their clinical application cases in hospitals. Finally, we analyze the future application prospects and challenges of intelligent blood collection robots.