• Rashi Rajendra Rupawat
• Dr. Aishwarya Kanhere
• Dr. Mahendra Shende
• Dr Kalpana Ghatpande

Abstract : Background : As use of AI in healthcare is increasing rapidly it is necessary to assess the knowledge of AI amongst physiotherapist and its feasibility in physiotherapy rehabilitation. Objective :To assess the Feasibility and Knowledge of Artificial Intelligence amongst physiotherapist using a self made questionnaire. Methods :An observational cross sectional study was used. A total of 136 physiotherapist were included in the study. A self made questionnaire consisting of 3 sections was administered to the physiotherapist using Google forms to assess their knowledge of AI and its feasibility in clinical practice. Results :It was found that 64 % physiotherapist had knowledge regarding AI and 70 % physiotherapist thought that AI is a feasibile option in physiotherapeutic rehabilitation in India. The p value found was 0.05 and t test value was 2.23 which means that data was significant. Conclusion :Hence this study concludes that there is knowledge and feasibility of Artificial Intelligence amongst physiotherapist. AI must be included in educational curricula in order to improve students understanding of the technology.

Artificial intelligence , Physiotherapy, clinicians , academicians, health care , Rehabilitation.

"Knowledge and Feasibility of Artificial Intelligence : A Physiotherapeutic Perspective.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.b280-b292, April-2024, Available :http://www.jetir.org/papers/JETIR2404133.pdf

"Knowledge and Feasibility of Artificial Intelligence : A Physiotherapeutic Perspective.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppb280-b292, April-2024, Available at : http://www.jetir.org/papers/JETIR2404133.pdf