A recent scoping review by researchers S. Kranzinger, C. Halmich, and D. Hofer examines the role of explainable artificial intelligence (AI) in sports science, highlighting its potential to impact the field significantly. The study explores how AI technologies can be utilized to enhance athletic performance and optimize training methodologies while emphasizing the importance of transparency and interpretability in AI systems used within this domain.
The review focuses on the integration of explainable AI into sports science applications, addressing its ability to provide insights into complex data patterns related to athlete performance, injury prevention, and recovery processes. By prioritizing explainability, these AI systems aim to ensure that coaches, athletes, and medical professionals can understand and trust the recommendations generated by such technologies. The findings underscore a growing interest in leveraging advanced computational tools while maintaining clarity in their decision-making processes for practical implementation in sports science practices.
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Date: November 29, 2025
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