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物理治疗教育中的人工智能与数字鸿沟

Artificial Intelligence and Digital Divide in Physiotherapy Education.

作者信息

Veras Mirella, Dyer Joseph-Omer, Kairy Dahlia

机构信息

Health Sciences, Carleton University, Ottawa, CAN.

School of Rehabilitation, Université de Montréal, Montreal, CAN.

出版信息

Cureus. 2024 Jan 20;16(1):e52617. doi: 10.7759/cureus.52617. eCollection 2024 Jan.


DOI:10.7759/cureus.52617
PMID:38374829
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10875905/
Abstract

The potential of artificial intelligence (AI) in health care and education has become increasingly evident, promising to revolutionize how healthcare professionals deliver services and how learners engage with educational content. AI enhances individualized student learning experiences and transforms education delivery by adapting to emerging healthcare advancements. We emphasize the current need for more exploration of AI's applications in day-to-day education in physiotherapy schools. We conducted a PubMed search, revealing a significant gap in research on AI in physiotherapy education compared to medical and dental education. Knowledge gaps and varied perspectives among Canadian healthcare students, including physiotherapy students, highlight the need for targeted educational strategies and ethical considerations. We conclude with a call to bridge the digital divide in physiotherapy education, stressing the importance of integrating AI to empower students and foster innovation in physiotherapy education.

摘要

人工智能(AI)在医疗保健和教育领域的潜力日益明显,有望彻底改变医疗保健专业人员提供服务的方式以及学习者与教育内容的互动方式。人工智能通过适应新兴的医疗保健进步,增强了个性化的学生学习体验,并改变了教育交付方式。我们强调当前需要更多地探索人工智能在物理治疗学校日常教育中的应用。我们进行了一项PubMed搜索,结果显示与医学和牙科教育相比,物理治疗教育中关于人工智能的研究存在显著差距。包括物理治疗专业学生在内的加拿大医疗保健专业学生之间的知识差距和不同观点,凸显了针对性教育策略和伦理考量的必要性。我们呼吁弥合物理治疗教育中的数字鸿沟,并强调整合人工智能以增强学生能力和促进物理治疗教育创新的重要性。

相似文献

[1]
Artificial Intelligence and Digital Divide in Physiotherapy Education.

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[2]
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[3]
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[8]
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[10]
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引用本文的文献

[1]
Current applications and outcomes of AI-driven adaptive learning systems in physical rehabilitation science education: A scoping review protocol.

PLoS One. 2025-6-11

[2]
Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study.

BMC Med Educ. 2025-4-24

本文引用的文献

[1]
Usability and Efficacy of Artificial Intelligence Chatbots (ChatGPT) for Health Sciences Students: Protocol for a Crossover Randomized Controlled Trial.

JMIR Res Protoc. 2023-11-24

[2]
Applications of Artificial Intelligence (AI) in Medical Education: A Scoping Review.

Stud Health Technol Inform. 2023-6-29

[3]
New technologies promoting active upper limb rehabilitation after stroke: an overview and network meta-analysis.

Eur J Phys Rehabil Med. 2022-8

[4]
Health Care Students' Perspectives on Artificial Intelligence: Countrywide Survey in Canada.

JMIR Med Educ. 2022-1-31

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