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How can AI be used to improve sports management? 


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AI can be used to improve sports management in various ways. One application is in the analysis of sports movements and postures, where AI-based algorithms can match and evaluate sports postures, identify deviations, and provide feedback for training improvement . AI can also be used in computer vision programs to analyze matches, categorize data, and assist coaches in making strategic decisions . Additionally, AI technology, such as convolutional neural networks, can be used for action recognition in sports training, resulting in higher accuracy rates compared to traditional methods . AI has also found applications in player recruitment, maintaining the integrity of the sport, sports medicine, sports betting, and sports journalism . Furthermore, AI techniques can contribute to diagnosing and addressing administrative and technical obstacles in high-performance sports organizations, leading to improved performance .

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The paper discusses the construction of a scale for managing high-performance sports organizations using artificial intelligence techniques, but it does not specifically mention how AI can be used to improve sports management.
The paper discusses the construction of a sports training management information system using AI action recognition, which can improve sports management by accurately recognizing athletes' movements and providing a faster and less time-consuming system.
AI can be used in sports management to analyze matches, gather and categorize data for strategic planning, evaluate player performance, and investigate and pursue advantages over rivals in terms of strategy.
The paper proposes an artificial intelligence-based DTW pose matching algorithm to evaluate sports movements and identify deviations. This can improve sports management by providing accurate assessments of movement accuracy and feedback for improvement.

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