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Training the next generation of researchers that will bring rehab robots to clinical practice

CORDIS · observation · Publication date unknown

hab robots to clinical practice Injuries and diseases affecting the nervous system pose significant challenges for patients and impose substantial socioeconomic burdens. Digital technologies, such as artificial intelligence (AI) and robotics, hold great promise in revolutionizing recovery processes owing to their robustness, adaptability, and ability to assimilate diverse patient information. Despite this potential, current evidence suggests that these technologies have not fully met expectations. We propose two primary reasons for this discrepancy: (1) the absence of robot-based therapy in established clinical guidelines that therapists follow systematically, and (2) the suboptimal implementation of crucial features in therapeutic interventions—specifically, tasks should be tailored, intensive, optimally challenging, allow movement variability, and foster high patient engagement. In essence, interventions should be personalized to each patient's unique condition and requirements. TAILOR aims to bridge this gap by offering invaluable insights and knowledge to the next generation of r

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recordType

award

status

SIGNED

region

EU

value

2096033.4

unit

EUR