Surgical robots of the next decade: New trends and paradigms in the 21th century

T. Haidegger
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引用次数: 10

Abstract

Robots in healthcare already have a stunning 40 years history, yet there is an unprecedented rise nowadays in new systems and clinical applications [1]. Surgical robotics is entering new domains, reaching new levels of integration, requiring highly sophisticated manipulation skills and decision making — on both the human and the mechatronic ends. The newest generation of robots does not only function as an agile extension of the human eyes and hands, but also becoming a skillful and smart co-worker of their MD counterpart [2]. Current trends include the seamless integration of preoperative and intra-operative images along with the (limited) decision-support offered to the clinicians, both in terms of surgical planning and navigation. Employment of smart tools, in vivo direct and indirect diagnostic methods are also on the rise. Microsurgery applications have been empowered by stable robotic platform both for hands-on and teleoperational control modes. Some companies are already talking about the introduction of cognitive surgical robots, which may open the era of Surgery 4.0, where procedures are boosted by Surgical Data Science and supported by big data analytics and optimization. These and many other technological advancements are to be presented. An emerging pattern is the cooperation of eminent research institutions, which is proved to benefit a lot the whole community. A great example of that is the Da Vinci Research Kit (DVRK) community, in which 25 outstanding labs (including the IROB at Óbuda University) synchronize their research, and share the results in an open source platform, relying on the open architecture research version of the famous da Vinci Classic robot [3]. Legislation and standardization activities are gradually following the technical development, striving to establish a safe and reliable environment for Surgical Robots 4.0 [4,5]. Assessment of medical robot capabilities is of great importance: safety can only be ensured through rigorous testing and verification processes. Existing and new systems should be assessed and scaled along their Degree of Autonomy, as a new concept that will create a basis for objective comparison of functions and capabilities. As a next step, the standardization bodies are looking into developing complete test sequences and scenarios for practical benchmarking. It is believed that the near future of medical robotics largely lies in cooperatively controlled systems, where robots and humans share the control, to exploit advantages of both. Humans will be able to benefit from the advantages of autonomous medical systems in the long term. The upcoming standards and test protocols should put emphasis on the evaluation and categorization of these systems [6]. The talk overviews the most important recent trends in the field, identifying some of the key enabling technologies and economic considerations. A critical analysis to the state of the art is also provided.
下一个十年的手术机器人:21世纪的新趋势和新范式
机器人在医疗保健领域已经有了令人惊叹的40年历史,但如今在新系统和临床应用方面有了前所未有的增长[1]。手术机器人正在进入新的领域,达到新的集成水平,需要高度复杂的操作技能和决策-无论是在人类还是机电端。最新一代的机器人不仅作为人类眼睛和手的敏捷延伸,而且成为他们的MD同行的熟练和聪明的同事[2]。目前的趋势包括术前和术中图像的无缝整合,以及在手术计划和导航方面为临床医生提供的(有限的)决策支持。智能工具、体内直接和间接诊断方法的使用也在增加。显微外科手术的应用已经被稳定的机器人平台授权,无论是动手和远程操作控制模式。一些公司已经在讨论引入认知手术机器人,这可能会开启手术4.0时代,手术过程由手术数据科学推动,并得到大数据分析和优化的支持。这些和许多其他的技术进步将被展示。一种新兴的模式是知名研究机构的合作,这种合作被证明对整个社会都有很大的好处。一个很好的例子是达芬奇研究工具包(DVRK)社区,其中25个优秀的实验室(包括Óbuda大学的IROB)同步他们的研究,并在一个开源平台上分享结果,依靠著名的达芬奇经典机器人的开放架构研究版本[3]。立法和标准化活动正逐步跟随技术发展,努力为外科手术机器人4.0建立一个安全可靠的环境[4,5]。对医疗机器人能力的评估非常重要:只有通过严格的测试和验证过程才能确保安全。现有的和新的系统应根据其自治程度加以评估和调整,作为一种新概念,将为客观比较功能和能力创造基础。作为下一步,标准化组织正在研究开发完整的测试序列和场景,以进行实际的基准测试。据信,不久的将来,医疗机器人的发展很大程度上取决于合作控制系统,机器人和人类共同控制,利用双方的优势。从长远来看,人类将能够从自主医疗系统的优势中受益。未来的标准和测试方案应重视对这些系统的评估和分类[6]。该演讲概述了该领域最重要的最新趋势,确定了一些关键的使能技术和经济考虑因素。还提供了对技术状况的批判性分析。
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