Artificial Intelligence and Digital Divide in Physiotherapy Education

被引:1
|
作者
Veras, Mirella [1 ]
Dyer, Joseph-Omer [2 ]
Kairy, Dahlia [2 ]
机构
[1] Carleton Univ, Hlth Sci, Ottawa, ON, Canada
[2] Univ Montreal, Sch Rehabil, Montreal, PQ, Canada
关键词
physiotherapy students; tele-physiotherapy; physiotherapy education; physical therapy rehabilitation; physical therapy; teaching technology; education; physiotherapy; ai; artificial intelligence;
D O I
10.7759/cureus.52617
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
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页数:3
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