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ZENODO
Journal . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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AI-DRIVEN PERSONALIZED TRAINING PROGRAMS FOR ELITE ATHLETES

Authors: Dr. Misale P.V.;

AI-DRIVEN PERSONALIZED TRAINING PROGRAMS FOR ELITE ATHLETES

Abstract

In recent years, Artificial Intelligence (AI) has made remarkable progress across various fields, and sports science is no exception. The use of AI in designing personalized training programs has brought a new dimension to athletic preparation. These intelligent systems gather and analyze detailed information about an athlete’s physical, biomechanical, and psychological conditions, allowing for training plans tailored to individual needs. Such personalized approaches help improve performance, minimize the risk of injuries, and enhance recovery efficiency. This paper focuses on understanding how AI-based personalized training systems are developed and applied in elite sports. It also examines the challenges involved in their implementation, along with ethical concerns and data privacy issues. Finally, it highlights how AI can play a key role in expanding the limits of human athletic potential in the future.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average