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  1. 1

    Artificial intelligence in health and sport sciences: Promise, progress, and prudence

    An, R.
    Published in Journal of Sport and Health Science (2025)
    “…Artificial intelligence (AI) has rapidly transformed from a promising computational tool to a central force in global healthcare, exercise science, and human performance research.1 While once conceptual, its applications today are increasingly tangible—powering diagnostic tools, enhancing training personalization, guiding rehabilitation strategies, and informing ethical governance in sport.2 The integration of AI in health and sports science mirrors a broader digital health revolution, and this special topic offers a compelling snapshot of how AI is reshaping the landscape of patient care, athlete monitoring, and scientific inquiry. …”
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  2. 2

    Machine learning in sports: Open approach for next play analytics

    Fujii, K.
    Published 2025
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  3. 3

    Integrating multimodal AI technologies for sports injury prediction and rehabilitation: Systematic review

    Wang, P., Wang, A., Wang, S.
    Published in Journal of Human Sport & Exercise (2026)
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  4. 4

    Exceeding limits in sports engineering: The bio-digital-material triad paradigm in the Asian sports performance revolution

    Shen, Y., Liu, J., Li, J., Jing, H., Li, L.
    Published in Journal of Human Sport & Exercise (2025)
    “…By analysing empirical data across multiple dimensions, the article examines how these technologies converge and drive the evolution of sports science, creating a comprehensive logical chain from fundamental research to commercial application, thus providing new pathways for enhancing athlete performance. …”
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  5. 5

    A narrative review of deep learning applications in sports performance analysis: current practices, challenges, and future directionsA narrative review of deep learning application...

    Jia, Y., Abdullah, N. A., Eliza, H., Lu, Q., Si, D., Guo, H., Wang, W.
    Published in BMC Sports Science, Medicine and Rehabilitation (2025)
    “…Methods We conducted a systematic literature search of Web of Science Core Collection (WOS), China National Knowledge Infrastructure (CNKI), and Association for Computing Machinery Digital Library (ACM DL) for relevant studies published from 2015 to 2024, with no language restrictions. …”
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  6. 6

    Decoding speed climbing: AI-powered biomechanical analysis of elite performance

    Shunko, A.
    Published in Journal of Physical Education and Sport (2025)
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  7. 7

    Real-time hand tracking and collision detection for immersive mixed-reality boxing training on Apple Vision Pro

    Karelin, A., Brazhenko, D., Kliukovkin, G., Chernenko, Y.
    Published in Sensors (2025)
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  8. 8

    Foul prediction with estimated poses from soccer broadcast video

    Fang, J., Yeung, C., Fujii, K.
    Published in Sports Engineering (2025)
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  9. 9

    Jump-Aware: player position rectification and identification in dynamic sports using jump event spotting

    Oo, Y. M., Jamsrandorj, A., Chao, V., Nguyen, H. Q., Hwang, Y., Mun, K.-R., Kim, J.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2025)
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  10. 10

    From beats to scores: a multi-modal framework for comprehensive figure skating assessment

    Wang, F., Wang, Q., Chen, D.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2025)
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  11. 11

    AthletePose3D: a benchmark dataset for 3D human pose estimation and kinematic validation in athletic movements

    Yeung, C., Suzuki, T., Tanaka, R., Yin, Z., Fujii, K.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2025)
    “…Human pose estimation is a critical task in computer vision and sports biomechanics, with applications spanning sports science, rehabilitation, and biomechanical research. …”
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  12. 12

    Multi-person physics-based pose estimation for combat sports

    Feizollah Zadeh Khoiee, H., Labbe, D., Romeas, T., Faubert, J., Andrews, S.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2025)
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  13. 13

    An introduction to performance analysis in sport

    Cullinane, A., Davies, G., O'Donoghue, P.
    Published 2024
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  14. 14

    A conceptual framework and review of multi-method approaches for 3D markerless motion capture in sports and exercise

    Noorbhai, H., Moon, S., Fukushima, T.
    Published in Journal of Sports Sciences (2025)
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  15. 15

    Table tennis coaching system based on a multimodal large language model with a table tennis knowledge base

    Ma, W., Liu, Y., Yi, Q., Liu, X., Xing, W., Zhao, R., Liu, H., Li, R.
    Published in PLOS ONE (2025)
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  16. 16

    Diving into data driven match analysis in football with floodlight and open data

    Bassek, M., Memmert, D., Rein, R.
    Published in 15. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie": Zwischen Geistesakrobatik und praktischer Anwendung: Innovationen in der Sportinformatik und Sporttechnologie - Abstractband (2024)
    “…Additionally, we emphasize the idea of open science. Here, floodlight can serve as a platform for reproducible and open research projects in the future. …”
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  17. 17

    The potential of human pose estimation for motion capture in sports: a validation study

    Fukushima, T., Blauberger, P., Guedes Russomanno, T., Lames, M.
    Published in Sports Engineering (2024)
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  18. 18

    Motion capture technology in sports scenarios: a survey

    Suo, X., Tang, W., Li, Z.
    Published in Sensors (2024)
    “…This article presents a comprehensive survey aimed at guiding researchers in selecting the most suitable motion capture technology for sports science investigations. …”
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  19. 19

    Computational fluid dynamics to reach a high-fidelity simulator of performance in rowing

    Leroyer, A., Barré, S.
    Published in Proceedings of the 10th International Conference on Sport Sciences Research and Technology Support icSPORTS - Volume 1 (2022)
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  20. 20

    A comprehensive overview of artificial intelligence applications in basketball

    Agbozo, E., Pandya, K., Jovanovic, P., Suvorova, E. A.
    Published in Journal of Physical Education and Sport (2024)
    “…Our results revealed that the area of sports analytics is gaining momentum and AI in the basketball world has more adoption in China, USA, Australia, Canada, Italy and Spain from a research perspective. Our study offers contributions to theory and practice in the sports science and applied AI domains.…”
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