| Physical Therapists' awareness of implementing AI in Rehabilitation |
| Paper ID : 1075-ISCSR3 |
| Authors |
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Mostafa Shahien1, Mahmoud Tarek Elbaz *2, Ahmed Ragab3, Afaf Mohamed Tahoon4 1Department of Physical Therapy for Cardiovascular/Respiratory Disorders and Geriatrics, Cairo University 2physical therapy faculty of Cairo university, Egypt 3Faculty of physical therapy, cairo ,Egypt 4lecturer at physical therapy for orthopedics department, Cairo university |
| Abstract |
| Background: The application of artificial intelligence (AI) in rehabilitation is rapidly developing; however, there is a lack of literature that explores Egyptian physical therapists' (PTs) knowledge, attitudes, and readiness regarding AI in clinical practice Objectives Assess Egyptian PTs' awareness and perspectives toward AI integrations in rehabilitation Design: Cross section – Descriptive prevalence study Methods: A self-administered survey that includes demographics, knowledge, uses, impacts, advantages, and limitations of AI utilization in rehabilitation was adapted from a previous study. PTs who currently practice physical therapy were the target population. Results: 216 Egyptian PTs representing various subspecialties completed the questionnaire. Notably, 82.8% and 66.2% heard about AI in healthcare systems and rehabilitation, respectively, while 53.2% reported no exposure to AI applications at work. Social media (30.55%) was the primary source of AI knowledge. 69%, believed AI could decrease PTs' workload, and 79 % thought AI may ease patient care. 58.8% and 63% agreed AI could be used in disease prevention, and prediction respectively More than half of respondents supported using AI in diagnosis and expected that AI could decrease the demand on human resources, and increase patient quality. Regarding AI's ethical implications, 38% of PTs expressed doubts about AI’s abilities in clinical reasoning, and 35.2% assumed AI creators lacked clinical experience. 75.5% believed clinicians' opinions should take precedence over AI predictions. Cost (66%) and lack of AI practice (82.2%) constituted the main barriers to adopting AI in rehabilitation. Moreover, 91.2% advocated for adding AI to the physiotherapy curriculum. Conclusions: Egyptian PTs showed a positive perception of AI integration in rehabilitation. However, the current findings highlighted the gap between perceptions and practicing AI applications in physiotherapy practice. In addition, a need to implement AI into the rehabilitation curriculum. PTs should integrate rehabilitation with technological advancements. |
| Keywords |
| Attitudes, Egyptian Physical therapist, Perception, Artificial intelligence (AI), barriers. |
| Status: Abstract Accepted |