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Writer's pictureValeria Vallenas
12 minutes ago3 min read

Artificial Intelligence in Sports: Enhancing Health and Safety

Artificial Intelligence (AI) is revolutionising the sports industry, driving innovation in player performance, injury prevention, and ground management. As technology evolves at an incredible pace, AI’s role in health and safety is becoming more important. For both performance analysts and groundskeepers, working with AI and data-driven tools is essential to stay ahead.


This blog explores how AI is changing health and safety in sports, from predicting injuries to optimising surface management, and highlights the importance of adopting data-driven approaches to future-proof operations.


The Role of Artificial Intelligence in Sports: Health and Safety

AI is making a significant impact across the sports industry, particularly in health and safety. Its capabilities in processing large amounts of datasets and identifying patterns provide actionable insights that were previously not available or incredibly hard to achieve. In performance settings, AI is used to:


  • Predict and prevent injuries: Machine learning models analyse player workload, biomechanics, and historical data to identify injury risks before they occur (Van Eetvelde et al., 2021).

  • Optimise training loads: By forecasting fatigue and recovery times, AI enables precise adjustments to maximise player readiness and reduce injury risks (Claudino et al., 2024).


AI applications in sports injury prediction and prevention are shifting the focus from reactive to proactive strategies, improving athlete health and overall performance (Claudino et al., 2024).


How AI Enhances Health and Safety in Grounds Management

Surface conditions directly influence player safety and performance, making AI-driven insights valuable. By analysing data on soil health, moisture levels, and wear patterns, AI helps groundskeepers maintain consistent, safe surfaces (Van Eetvelde et al., 2021).


AI applications in ground management are emerging, and the value of data-driven tools in managing variability, optimising maintenance, and reducing risks is well-documented. For instance:


  • Traction and hardness monitoring: Data ensures surfaces meet safety standards and minimise injury risks.

  • Resource efficiency: AI-powered insights support precise irrigation and fertilisation, reducing environmental impact and improving sustainability (Van Eetvelde et al., 2021).


Standardised maintenance protocols, supported by AI, could ensure health and safety remain at the forefront of ground management practices.


Raw Stadia: A Data-Driven Approach

At Raw Stadia, we prioritise health and safety by leveraging advanced data analytics. Our platform offers comprehensive tools to monitor and manage surface conditions, enabling performance teams and groundskeepers to make informed decisions.


Key features include:

  • Detailed data visualisations and reports: Simplifying complex datasets into actionable insights.

  • Centralised maintenance records: Helping teams align their strategies and prioritise safety.


Looking Ahead: The Future of AI in Sports Health and Safety

As AI continues to evolve, its potential in sports technology is limitless. For performance analysts and groundskeepers, staying informed about these advancements is crucial. Collaboration between these teams, supported by data-driven tools, ensures the benefits of AI are maximised.


AI’s integration into sports not only enhances player health and safety but also redefines how teams prepare, manage resources, and optimise performance (Van Eetvelde et al., 2021).


Raw Stadia is committed to supporting this transformation with cutting-edge tools and a focus on delivering actionable insights. As technology advances, professionals in performance and ground management must embrace these changes to stay competitive and prioritise athlete welfare.


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