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Research Paper | Information Technology | India | Volume 12 Issue 4, April 2023 | Popularity: 5.2 / 10
Leveraging Artificial Intelligence for Enhanced Physiotherapy Rehabilitation Assessments: A Comprehensive Review
Venkata Sai Swaroop Reddy Nallapa Reddy
Abstract: Physiotherapy rehabilitation assessments play a crucial role in designing personalized treatment plans for patients recovering from physical injuries or conditions. Traditional assessment methods, while foundational, present significant challenges, including limited accessibility in rural areas, high costs of in - home sessions, and inefficiencies stemming from inconsistent patient adherence. The emergence of Artificial Intelligence (AI) offers transformative potential to address these challenges, providing innovative solutions that enhance the efficiency, precision, and accessibility of physiotherapy practices. This paper critically examines the role of AI in physiotherapy rehabilitation assessments, focusing on its ability to automate evaluations, predict patient outcomes, and deliver personalized feedback. AI - powered systems, such as deep learning frameworks and machine learning models, analyze vast datasets to identify patterns, optimize rehabilitation exercises, and offer real - time guidance to patients and physiotherapists. These advancements not only improve treatment outcomes but also facilitate remote care, making physiotherapy more inclusive for underserved populations. Despite these advancements, several challenges persist, including the lack of diverse datasets, ethical concerns regarding data privacy, and the limited interpretability of AI models. Additionally, the integration of AI into existing clinical workflows and the need to ensure patient engagement and adherence remain critical obstacles. This review provides actionable recommendations to address these issues, such as developing patient - centric designs, enhancing data security, and fostering interdisciplinary collaboration between healthcare providers and AI developers. The paper concludes by emphasizing the transformative role of AI in redefining physiotherapy rehabilitation assessments. By bridging the gaps of traditional methods and offering innovative, data - driven solutions, AI has the potential to revolutionize the field, benefiting both patients and healthcare providers. Future research and development are essential to overcome existing limitations and ensure that AI is seamlessly integrated into physiotherapy practices, paving the way for a more effective, accessible, and patient - centered approach to rehabilitation.
Keywords: Artificial Intelligence (AI), Physiotherapy, Rehabilitation Assessments, Machine Learning (ML), Deep Learning, Predictive Analytics
Edition: Volume 12 Issue 4, April 2023
Pages: 1977 - 1981
DOI: https://www.doi.org/10.21275/SR23045123746
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