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Artificial intelligence empowers physical therapy for neurological conditions.

作者信息

Hao Jie

机构信息

Southeast Colorado Hospital, Springfield, CO, 81073, USA.

出版信息

Neurol Sci. 2025 Jun 9. doi: 10.1007/s10072-025-08295-4.

DOI:10.1007/s10072-025-08295-4
PMID:40490640
Abstract
摘要

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本文引用的文献

1
Artificial Intelligence in Physical Therapy: Evaluating ChatGPT's Role in Clinical Decision Support for Musculoskeletal Care.物理治疗中的人工智能:评估ChatGPT在肌肉骨骼护理临床决策支持中的作用。
Ann Biomed Eng. 2025 Jan;53(1):9-13. doi: 10.1007/s10439-025-03676-4. Epub 2025 Jan 6.
2
Better understanding fall risk: AI-based computer vision for contextual gait assessment.更好地理解跌倒风险:基于人工智能的计算机视觉用于情境步态评估。
Maturitas. 2024 Nov;189:108116. doi: 10.1016/j.maturitas.2024.108116. Epub 2024 Sep 10.
3
The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review.
人工智能在评估跌倒风险中的应用:系统评价。
J Med Internet Res. 2024 Apr 29;26:e54934. doi: 10.2196/54934.
4
Predicting patient-reported outcome of activities of daily living in stroke rehabilitation: a machine learning study.预测脑卒中康复患者日常生活活动的患者报告结局:一项机器学习研究。
J Neuroeng Rehabil. 2023 Feb 23;20(1):25. doi: 10.1186/s12984-023-01151-6.
5
Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study.基于智能手表和机器学习模型的上肢家庭康复系统的开发和临床评估:慢性脑卒中幸存者的前瞻性对比研究。
JMIR Mhealth Uhealth. 2020 Jul 9;8(7):e17216. doi: 10.2196/17216.
6
The Clinical Utility of Virtual Reality in Neurorehabilitation: A Systematic Review.虚拟现实在神经康复中的临床应用:一项系统综述。
J Cent Nerv Syst Dis. 2018 Nov 27;10:1179573518813541. doi: 10.1177/1179573518813541. eCollection 2018.
7
The Past, Present, and Future of Neurorehabilitation: From NUSTEP Through IV STEP and Beyond.
Pediatr Phys Ther. 2017 Jul;29 Suppl 3:S2-S9. doi: 10.1097/PEP.0000000000000376.