BMC Sports Science, Medicine and Rehabilitation is calling for submissions to our Collection on Artificial intelligence in sports analytics and rehabilitation.
The integration of artificial intelligence (AI) into sports analytics and rehabilitation has opened up transformative possibilities for athletes, coaches, and healthcare professionals. AI technologies, such as machine learning and deep learning, are being utilized to analyze vast datasets generated by athlete performance, training regimens, and injury patterns. This Collection seeks to examine how these innovative tools can enhance our understanding of sports performance optimization and facilitate more effective rehabilitation protocols. By leveraging AI in player tracking and movement analysis, we aim to gain deeper insights into both athletic potential and injury prevention.
Topics of interest include, but are not limited to:
- Movement analysis and player tracking
- AI-assisted rehabilitation programs
- Injury risk assessment using deep learning
- Personalized rehabilitation strategies
All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.
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