An Artificial Intelligence Planned Physiotherapeutic Intervention and Physiotherapist based Goal Setting on patients with knee Osteoarthritis-An Observational Study

Abstract

Introduction: AI technologies affecting the healthcare system in the current world, and the importance of compassion in providing quality healthcare and benefits the society, the authors aimed to find out the correlation in depth for the future shaping of healthcare. Their findings state that AI emphasized awareness, response, behaviour, communication, health coaching, therapeutic interventions, moral development of learning, clinical knowledge and assessment, therapeutic alliance, healthcare information, and advice. In physiotherapy practices, the concept of AI is able to provide training and monitoring to patient through either a virtual (informatics) or physical (robotics) manner. A good therapeutic alliance would lead to improvement in modulated pain intensity and muscle pain sensitivity, functioning, and disability experienced, as well as better adherence of exercise and physical activity in patients with knee pain. Objective: primary: To compare the Impact of Artificial Intelligence Planned Physiotherapeutic Intervention and Physiotherapist based Goal Setting on patient with knee Osteoarthritis. Secondary: To Develop an AI tool for Artificial Intelligence based Physiotherapeutic Intervention and justify its implications on patient with knee Osteoarthritis. To analyse patient outcomes in terms of pain relief, mobility improvement and quality of life. Assesses time and cost efficiency of AI driven interventions. Methodology: This is a randomized controlled trial with single-blinded towards the participants. Sample size has been calculated through convenient sampling using G power software. The study population will include people visiting AIMST Physiotherapy Clinic who referred for Osteoarthritis knee. The experimental group will be receiving planned intervention from AI while the control group will be receiving the planned intervention by physiotherapists. Both groups will be receiving the rationale of treatment and the goals setting from the physiotherapist in charge, but the explanation would be made by either AI or physiotherapist based on group allocation. The outcome measure: would be based on work alliance inventory (WAI)/ WAI-SF,(“Working Alliance Inventory (WAI © A. O. Horvath 1981, 1984, 1992). It is based on task items and goals items. Expected outcomes: The AI-planned physiotherapeutic interventions provided a therapeutic alliance that was not inferior to that of a physiotherapist in terms of goal setting and task sharing. Significance of output from the research project.