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Paper Title

The Use of AI and Machine Learning in Injury Risk Predictions and Analyzing Movements – A Narrative Review

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Registration ID: IJNRD_306009

Published ID: IJNRD2504440

: https://doi.org/10.56975/ijnrd.v10i4.306009

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Keywords

Artificial intelligence, Injury prediction, Wearable sensors, Machine learning

Abstract

Injury risk and movement inefficiencies pose ongoing challenges across sports, rehabilitation, and occupational health, often disrupting careers, delaying recovery, and reducing quality of life. As technology advances, the integration of Artificial Intelligence (AI) and Machine Learning (ML) into injury prediction and movement analysis has opened new avenues for proactive, data-driven care.This review summarizes insights from 17 key studies published between 2016 and 2025, exploring how AI and ML are applied to injury prediction and movement analysis in sports, rehab, and workplace health.. We examine the algorithms most commonly used, such as decision trees, neural networks, and support vector machines, and their application to biomechanical data like joint kinematics, EMG, and gait patterns. From predicting ACL injuries in athletes to identifying ergonomic risks in workplaces, these models offer nuanced insights into human movement. The review also highlights the growing use of wearable sensors, motion capture systems, and real-time video analysis as data sources for training predictive models. Despite the promise, challenges persist—ethical concerns, data privacy, model transparency, and high implementation costs remain barriers to wide adoption. Still, with trends like multimodal data integration, edge computing, and interpretable AI, the future looks bright. AI and ML are no longer distant technologies; they are becoming essential tools in optimizing performance, enhancing safety, and supporting recovery—helping people move better, train smarter, and live healthier lives.

How To Cite (APA)

Aniket, Ishu Verma, Ishaan Gupta, Divya Midha, & Narkeesh Armugam (April-2025). The Use of AI and Machine Learning in Injury Risk Predictions and Analyzing Movements – A Narrative Review. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(4), e297-e301. https://doi.org/10.56975/ijnrd.v10i4.306009

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Paper Reg. ID: IJNRD_306009

Published Paper Id: IJNRD2504440

Research Area: Humanities All

Author Type: Indian Author

Country: Khanna, Punjab, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2504440.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2504440

Crossref DOI: https://doi.org/10.56975/ijnrd.v10i4.306009

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