Injury Prevention and Rehabilitation Using Machine Learning for Athletes

Yadav, Mohit, Choudhury, Tanupriya and Huzooree, Geshwaree (2025) Injury Prevention and Rehabilitation Using Machine Learning for Athletes. In: AI and Machine Learning Applications in Sports Analytics. IGI Global, pp. 129-155. ISBN 9798369353851

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Abstract

This chapter explores the role of machine learning (ML) in injury prevention and rehabilitation for athletes. It examines how ML models can predict injuries by analysing diverse data sources, such as biomechanics, wearables, and medical records, and highlights the potential for personalized, data-driven injury prevention strategies. The chapter also addresses how AI-driven rehabilitation programs can adapt in real-time to optimize recovery and reduce the risk of re-injury. Key challenges, such as data privacy, model complexity, and the need for explainable AI, are discussed, along with future trends like the integration of wearable technology, federated learning, and virtual reality in rehabilitation. These innovations promise to transform sports medicine by making injury prevention more accurate and rehabilitation more efficient, ultimately enhancing athlete performance and longevity.

Item Type: Book Section
Subjects: Social Sciences and humanities > Business, Management and Accounting > Management of Technology and Innovation
Physical, Life and Health Sciences > Computer Science
JGU School/Centre: Jindal Global Business School
Depositing User: Mr. Luckey Pathan
Date Deposited: 06 Jul 2025 07:18
Last Modified: 06 Jul 2025 07:18
Official URL: https://www.igi-global.com/chapter/injury-preventi...
URI: https://pure.jgu.edu.in/id/eprint/9761

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