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Artificial intelligence in neurology: opportunities, challenges, and policy implications.人工智能在神经科学中的应用:机遇、挑战与政策影响。
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二十年的突破:描绘神经工程与康复的未来

Two decades of breakthroughs: charting the future of NeuroEngineering and Rehabilitation.

作者信息

Bonato Paolo, Reinkensmeyer David, Manto Mario

机构信息

Motion Analysis Laboratory, Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA, 02129, USA.

Samueli School of Engineering, University of California, Irvine, CA, 92697, USA.

出版信息

J Neuroeng Rehabil. 2025 Mar 13;22(1):59. doi: 10.1186/s12984-025-01580-5.

DOI:10.1186/s12984-025-01580-5
PMID:40082907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11905428/
Abstract

The Journal of NeuroEngineering and Rehabilitation (JNER) has become a major actor for the dissemination of knowledge in the scientific community, bridging the gaps between innovative neuroengineering and rehabilitation. Major fields of innovations have emerged these last 25 years, such as machine learning and the ongoing AI revolution, wearable technologies, human machine interfaces, robotics, advanced prosthetics, functional electrical stimulation and various neuromodulation techniques. With the major burden of disorders impacting on the central/peripheral nervous system and the musculoskeletal system both in adults and in children, successful tailored neurorehabilitation has become a major objective for the research and clinical community at a world scale. JNER contributes to this challenging goal, publishing groundbreaking cutting-edge research using the open access model. The multidisciplinary approaches at the crossroads of biomedical engineering, neuroscience, physical medicine and rehabilitation make of the journal a unique growing platform welcoming breakthrough discoveries to reshape the field and restore function.

摘要

《神经工程与康复杂志》(JNER)已成为科学界知识传播的主要力量,弥合了创新神经工程与康复之间的差距。在过去25年中出现了一些主要的创新领域,如机器学习和正在进行的人工智能革命、可穿戴技术、人机接口、机器人技术、先进假肢、功能性电刺激以及各种神经调节技术。由于影响成人和儿童中枢/外周神经系统以及肌肉骨骼系统的疾病负担沉重,成功的个性化神经康复已成为全球研究和临床界的主要目标。JNER通过开放获取模式发表具有开创性的前沿研究,为这一具有挑战性的目标做出贡献。生物医学工程、神经科学、物理医学与康复交叉领域的多学科方法使该杂志成为一个独特的不断发展的平台,欢迎突破性发现来重塑该领域并恢复功能。