基于自适应IoT-based的主动手术机器人决策改进方法
A Self-Adaptive IoT-based Approach for Improving the Decision Making of Active Surgical Robots in Hospitals
摘要：
近年来，手术机器人已经成为辅助外科医生在医院中执行复杂手术程序的工具。与传统的手术方法不同，机器人系统帮助外科医生进行微创手术，同时提高手术的精度和控制（例如，微小切口，伤口缝合，内窥镜检查等）。在这种程度上，必须考虑可能影响在外科手术中使用机器人系统的可行性和决策的几个因素。在本文中，我们提出了一种基于物联网的自适应方法，该方法使用多标准决策分析方法（MCDA）来增强涉及手术机器人的手术决策。在本文中，我们提出了实验验证结果，利用MCDA作为一种有效的战略，提高决策，采用机器人系统在外科手术。
英文摘要：
In recent years, surgical robots have become instrumental tools for assisting surgeons in performing complex surgical procedures in hospitals. Unlike conventional surgical methods, robotic systems help surgeons, for example, to perform minimally invasive surgical procedures while enhancing the precision and control of operations (e.g. tiny incisions, wound sutures, endoscopic suturing, among others). To this extent, it is essential to consider several factors that may influence the feasibility and decision making of employing robotic systems in surgical procedures. In this paper, we propose an IoT-based self-adaptive approach that uses multi-criteria decision analysis methods (MCDA) for enhancing the decision making of operations involving surgical robots. Throughout this paper, we present experimental validation results in utilizing MCDA as an effective strategy for enhancing the decisions of employing robotic systems in surgical procedures.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
