Exploring Physical Therapists' Perspectives on AI and NLP Applications in COVID-19 Rehabilitation: A Cross-Sectional Study

Abstract

This cross-sectional study delves into the perspectives of physical therapists regarding the utilization of artificial intelligence (AI) and natural language processing (NLP) applications in the context of COVID-19 rehabilitation. Amidst the global pandemic, effective rehabilitation strategies have become imperative for individuals recovering from COVID-19-related complications. By conducting in-depth interviews and surveys with a diverse sample of physical therapists, this research elucidates the perceptions, attitudes, and potential barriers surrounding the integration of AI and NLP technologies in the rehabilitation process. Findings underscore the promising prospects of AI and NLP in enhancing rehabilitation outcomes, including personalized treatment plans, remote monitoring, and patient engagement. However, the study also uncovers notable concerns such as data privacy, technological literacy, and ethical considerations, which may impede the widespread adoption of these innovative tools. Furthermore, variations in familiarity and comfort levels with AI and NLP among physical therapists highlight the need for targeted training and education initiatives to foster acceptance and proficiency. Overall, this study offers valuable insights into the evolving landscape of COVID-19 rehabilitation and underscores the importance of collaborative efforts between healthcare professionals and technology developers to leverage the full potential of AI and NLP in optimizing patient care and outcomes in the post-pandemic era.