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本文引用的文献

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Paving the Way for Predicting the Progression of Cognitive Decline: The Potential Role of Machine Learning Algorithms in the Clinical Management of Neurodegenerative Disorders.为预测认知衰退的进展铺平道路:机器学习算法在神经退行性疾病临床管理中的潜在作用。
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Editorial: Artificial intelligence for human function and disability.社论:用于人类功能与残疾的人工智能
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Machine learning in the prediction of post-stroke cognitive impairment: a systematic review and meta-analysis.机器学习在预测中风后认知障碍中的应用:系统评价与荟萃分析
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Expert consensus for in-hospital neurorehabilitation during the COVID-19 pandemic in low- and middle-income countries.低收入和中等收入国家在2019冠状病毒病大流行期间的院内神经康复专家共识
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How Covid 19 has changed Neurorehabilitation in Italy: a critical appraisal.新冠疫情如何改变了意大利的神经康复:一项批判性评估。
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The five 'W' of cognitive telerehabilitation in the Covid-19 era.新冠疫情时代认知远程康复的五个“W”
Expert Rev Med Devices. 2020 Jun;17(6):473-475. doi: 10.1080/17434440.2020.1776607. Epub 2020 Jun 10.
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AI-augmented multidisciplinary teams: hype or hope?人工智能增强的多学科团队:炒作还是希望?
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Enhancing Nervous System Recovery through Neurobiologics, Neural Interface Training, and Neurorehabilitation.通过神经生物制剂、神经接口训练和神经康复促进神经系统恢复。
Front Neurosci. 2016 Dec 27;10:584. doi: 10.3389/fnins.2016.00584. eCollection 2016.

人工智能与神经康复:事实与虚构

Artificial Intelligence and Neurorehabilitation: Fact vs. Fiction.

作者信息

Fiorente Nicola, Mojdehdehbaher Sepehr, Calabrò Rocco Salvatore

机构信息

Dr. Fiorente is with Polimedica Fisio and Sport in Cittadella (PD), Italy.

Dr. Mojdehdehbaher is with Engineering Department, University of Messina in Messina, Italy.

出版信息

Innov Clin Neurosci. 2024 Mar 1;21(1-3):10-12. eCollection 2024 Jan-Mar.

PMID:38495602
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10941864/
Abstract

Artificial intelligence (AI) encompasses computer systems that mimic human cognitive functions, performing tasks such as learning, reasoning, problem solving, and decision-making. Neurorehabilitation is a specialized healthcare field aiding individuals with neurological injuries, employing various therapies to restore motor skills and cognitive function, enhancing their quality of life. The integration of AI in neurorehabilitation holds great promise, but it is crucial to approach this technology with a clear understanding of its capabilities and limitations. AI can enhance assessment, diagnosis, and personalized treatment plans, but it should complement, rather than replace, human healthcare providers. Additionally, ethical considerations must be at the forefront of AI implementation in the field of neurorehabilitation to ensure that patient wellbeing is prioritized.

摘要

人工智能(AI)涵盖了模仿人类认知功能的计算机系统,能够执行学习、推理、解决问题和决策等任务。神经康复是一个专门的医疗领域,旨在帮助患有神经损伤的个体,采用各种疗法来恢复运动技能和认知功能,提高他们的生活质量。将人工智能整合到神经康复中具有很大的潜力,但在应用这项技术时,清楚了解其能力和局限性至关重要。人工智能可以加强评估、诊断和个性化治疗方案,但它应该辅助而不是取代人类医疗服务提供者。此外,在神经康复领域实施人工智能时,必须将伦理考量放在首位,以确保患者的福祉得到优先考虑。