Research Journal of Medical Sciences
ISSN: Online 1993-6095ISSN: Print 1815-9346
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Abstract
The Industrial Revolution, around 200 years ago, marked a significant shift in human social and economic development. It introduced technological advancements, increased energy production and machine power, enhancing human and animal labor. This transformation improved quality of life and societal levels. Today, artificial intelligence is transforming human cognition, leading to profound social and economic changes similar to the Industrial Revolution. Unlike previous technologies that largely automated manual tasks, AI introduces the ability to learn, adapt and make predictive decisions based on large data set, making it a fundamentally different force in healthcare. Traditional tools and machines operate through predefined instructions, while AI systems, particularly those utilizing machine learning and deep learning, can improve their performance over time through experience. This self‐learning capability allows AI to identify patterns, make inferences and even suggest personalized interventions tailored to individual patient data. For example, in radiology, AI‐powered imaging analysis can detect minute anomalies in scans that may be overlooked by the human eye, thus aiding in early diagnosis and potentially improving patient outcomes. In oncology, AI assists in identifying effective treatment combinations for cancer patients by analyzing data from thousands of clinical cases and scientific publications. Additionally, predictive AI models are being used in preventive healthcare to identify patients at high risk of chronic conditions, enabling early intervention strategies. These advancements are mirrored in physiotherapy, where AI has started to support patient rehabilitation through personalized exercise recommendations, real‐time movement analysis and even virtual assistance for at‐home therapy. By bridging data analysis and patient care, AI represents a new frontier in healthcare, offering precision, scalability and accessibility that were previously unattainable with conventional technologies. This review seeks to highlight the principal discoveries and consequences associated with the application of artificial intelligence (AI) in the field of physiotherapy. This review analyzed 26 articles on AI's use in physiotherapy, focusing on machine learning, rehabilitation, patient care and physiotherapy education, using search strategies from PubMed, Cochrane, PEDro and Goggle Scholar. Twenty‐six articles were identified using the mentioned search strategy and methodology across various databases. These articles were thoroughly screened to evaluate the use of AI in physiotherapy for different conditions. This study concludes that innovations in the health system are being significantly driven by artificial intelligence. AI should be employed as a complementary tool to support physiotherapists rather than replace them. The future of physiotherapy practice and education involves embracing and utilizing AI. To enhance patient care and maintain professional integrity, it is crucial to understand the complexities of AI, including its strengths, limitations and practical applications.
How to cite this article:
Jigisha Vaniya, Nensi Vaibhav Gandhi, Kinjal Priyesh Patel, Chaitali Bhatt and Komal Preet Kaur. Role and Scope of Artificial Intelligence in Physiotherapy: A Literature Review.
DOI: https://doi.org/10.36478/10.36478/makrjms.2024.12.399.412
URL: https://www.makhillpublications.co/view-article/1815-9346/10.36478/makrjms.2024.12.399.412