The Extent of Using Artificial Intelligence Among Physical Therapy Students in Egypt : A Cross Sectional Study

Paper ID : 1042-ISCSR3 (R4)

Authors

Joanna Maged Lamiy Samaan *, Israa Mohammed Ahmed, Abdallah Ibrahim Desoky, Abdelrahman Naseer Mazen Suez University

Abstract

Background and Objective: The integration of artificial intelligence (AI) into healthcare is reshaping the role of physiotherapists, particularly in education and clinical practice. This study aimed to explore the extent of AI usage, perceptions, and trust among physiotherapy students in Egypt to better understand their readiness to adopt technological advancements. Significance: Investigating how physiotherapy students engage with AI provides valuable insights into their preparedness for integrating these tools into their careers. Such knowledge can help enhance patient care, optimize treatment outcomes while addressing challenges in education and practice. Methodology: A cross-sectional study was conducted in March 2025, involving 750 physiotherapy students from various Egyptian universities. Data were collected through an online survey distributed via social-media platforms. The survey employed a face-validated questionnaire comprising 34 items, organized into four domains: AI usage patterns, perceptions toward AI, self-assessed competency, and trust in AI. Statistical analysis was performed using SPSS software to identify trends and correlations. Results: 750 students continued to final results. Study revealed that 44.5% of students use AI multiple times per week, while 18.1% rely on it daily. Most students utilized AI for academic research (81.3%) and information retrieval (79.47%), but its application in treatment planning was limited (24.1%). Moderate reliance on AI was observed, with only 6.8% fully dependent on it. Trust in AI-generated medical information was relatively low (Mean = 2.88, SD = 0.88), reflecting concerns about accuracy. However, there was significant agreement (Mean = 4.2, SD = 0.71) that AI will play a transformative role in education. Conclusion: The findings highlight widespread use of AI for educational purposes among students while emphasizing the importance of critical thinking skills. Training programs are essential to improve effective AI utilization and address accuracy concerns. Future research should focus on evaluating the impact of AI on academic performance and clinical practice.

Keywords

Artificial Intelligence, Physical Therapy Students, Technological Adaption, Egypt

Status: Abstract Accepted