Aprile Irene Giovanna, Quaglini Silvana, Turchetti Giuseppe, Pecchia Leandro, Comandè Giovanni, Gramatica Furio, Gruppioni Emanuele, Sgandurra Giuseppina, Cipriani Christian
Neurorehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, Florence, Italy.
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Front Robot AI. 2025 Jul 3;12:1531067. doi: 10.3389/frobt.2025.1531067. eCollection 2025.
Robotics has been proposed as a promising solution for treating individuals with motor, sensory, and/or cognitive disabilities. Despite the great technological effort put into this field, the translation of robots from the laboratory to the clinical environment is not a seamless and smooth process, and their real-world adoption remains limited. Several barriers to the introduction of robotics in clinical practice have been identified, including a lack of sufficient scientific evidence about its actual cost/effectiveness, resistance to adopting these technologies, and economic, ethical, and regulatory restraints. Fit for Medical Robotics (Fit4MedRob) is an ambitious Initiative designed to bridge the gap between technological innovation and clinical application. One of the main goals of the Initiative is to conduct large-scale pragmatic trials to evaluate the effectiveness and the sustainability of commercially available robotic solutions. To guide the design of these trials, different online surveys have been implemented and delivered to identify the needs of healthcare practitioners and patients at different phases of the disease (acute to chronic) and therapeutic settings (hospital to home care). The results of the Initiative will suggest new organizational models to effectively introduce robotics-assisted rehabilitation into clinical practice. The paper will report on the opportunities of robotics for rehabilitation, the barriers to their clinical implementation, and the proposal of Fit4MedRob to overcome such limitations and facilitate the effective clinical implementation of robotic solutions.
机器人技术已被提议作为治疗运动、感觉和/或认知障碍患者的一种有前景的解决方案。尽管在这一领域投入了巨大的技术努力,但机器人从实验室到临床环境的转化并非是一个无缝且顺利的过程,其在现实世界中的应用仍然有限。已确定了在临床实践中引入机器人技术的几个障碍,包括缺乏关于其实际成本效益的充分科学证据、对采用这些技术的抵触以及经济、伦理和监管限制。适合医疗机器人(Fit4MedRob)是一项雄心勃勃的倡议,旨在弥合技术创新与临床应用之间的差距。该倡议的主要目标之一是进行大规模的实用试验,以评估商用机器人解决方案的有效性和可持续性。为指导这些试验的设计,已开展并实施了不同的在线调查,以确定医疗从业者和患者在疾病不同阶段(从急性到慢性)以及治疗环境(从医院到家庭护理)的需求。该倡议的结果将提出新的组织模式,以有效地将机器人辅助康复引入临床实践。本文将报告机器人技术在康复方面的机遇、其临床应用的障碍,以及Fit4MedRob为克服此类限制并促进机器人解决方案的有效临床应用所提出的建议。