Advanced concepts for medical robotic systems

Gernot Kronreif *
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引用次数: 2

Abstract

With the first recorded medical application of a robot - a CT-based orientation of a needle guide for biopsy of the brain - occurring in 1985, a number of research groups in Asia, Europe, and the USA began investigating other medical applications of robotics. Beside of a big number of research prototypes and scientific outcome, a relatively small number of commercial ventures were resulting from these efforts.

Now, after more than 30 years of activities and compared to many other fields of medical technology, medical robotics still can be considered as of being in its infant state. The number of commercially available setups actually could be increased, but only few of them really have created significant impact. Many research questions have been addressed in order to improve the technology, but the gap between research in laboratories and real use in surgical routine seems to get even bigger. If one looks to the main reasons for this slow adoptation of new technology, it turns out to mostly not being related to technical functioning, but to other factors such as:

  • cumbersome use of robots (complexity, size, missing integration into clinical workflow) which hinders application in clinical routine,

  • high cost for robot system and operational cost (i.e. cost/benefit ratio is not satisfactory in most cases),

  • high setup time and effort (e.g. additional person for operating robot system),

  • limitation in portability and/or mobility,

  • unsolved safety issues.

The presentation will include a short introduction into medical robot systems for surgical applications. Topics include issues such as kinematic configurations, interfaces to existing surgical equipment, but also matters related to standards and regulations. One key aspect for (future) medical robots is related to its main operation principle. Current commercial robot systems are either directly controlled by a human operator or strictly follow a pre-defined path. Automated systems are limited to setups where no direct contact between robot and/or the guided tool takes place, e.g. to compensate (to a certain degree) breathing motion in external radiotherapy or for imaging purposes. On the cognitive side, a long thought-after feature is to estimate what the surgeon would like to do next. This could be taken into account when planning and executing the next movement of the robotized tool or camera. Addition of cognitive capabilities to the robot also has the potential to take a further step toward surgical automation, e.g. for the awareness of the current medical situation and the ability to react in a suitable way. Concrete robot applications - such as for percutaneous placement of needles for tumor ablation, neurosurgical applications, or vitreo-retinal surgery - will further help to illustrate the possibilities but also the limitations of current medical robotics technology.

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医疗机器人系统的先进概念
1985年,机器人在医学上的首次应用被记录下来,这是一种基于ct的大脑活检针导向装置。此后,亚洲、欧洲和美国的一些研究小组开始研究机器人在其他医学上的应用。除了大量的研究原型和科学成果外,这些努力还产生了相对较少的商业企业。如今,经过30多年的发展,与许多其他医疗技术领域相比,医疗机器人仍处于起步阶段。商业上可用的设置的数量实际上可以增加,但其中只有少数真正产生了重大影响。为了改进这项技术,许多研究问题已经得到解决,但实验室研究与外科常规实际应用之间的差距似乎越来越大。如果我们看看新技术采用缓慢的主要原因,就会发现大部分与技术功能无关,而是与其他因素有关,例如:缺少与临床工作流程的整合)阻碍了临床常规的应用,•机器人系统的高成本和操作成本(即成本/效益比在大多数情况下不令人满意),•高设置时间和精力(例如操作机器人系统的额外人员),•可移植性和/或移动性的限制,•未解决的安全问题。报告将包括一个简短的介绍医疗机器人系统的手术应用。主题包括运动学配置,现有手术设备的接口等问题,但也涉及标准和法规。(未来)医疗机器人的一个关键方面与其主要工作原理有关。目前的商用机器人系统要么由人类操作员直接控制,要么严格遵循预先定义的路径。自动化系统仅限于机器人和/或引导工具之间没有直接接触的设置,例如(在一定程度上)补偿外部放射治疗中的呼吸运动或成像目的。在认知方面,一个经过长期思考的特征是估计外科医生下一步想做什么。在规划和执行机器人工具或相机的下一个运动时,可以考虑到这一点。为机器人增加认知能力也有可能进一步实现手术自动化,例如,了解当前的医疗状况并以适当的方式做出反应的能力。具体的机器人应用——例如用于肿瘤消融的经皮置针、神经外科应用或玻璃体视网膜手术——将进一步帮助说明当前医疗机器人技术的可能性,但也有局限性。
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