Applications of artificial intelligence in sport medicine: A review | ||||
| Translational Health Sciences | ||||
| Volume 1, Issue 1, February 2025, Page 52-62 PDF (449.77 K) | ||||
| Document Type: Review Article | ||||
| DOI: 10.21608/ths.2025.345621.1005 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Yomna Khaled Elkhamisy 
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| Faculty of physical Therapy, Egyptian Chinese university | ||||
| Abstract | ||||
| Artificial intelligence (AI) is transforming the field of sports medicine, bringing forth innovative solutions to enhance athletic performance, prevent injuries, and optimize recovery processes. This literature review explores the diverse applications of AI in sports medicine, highlighting its role in injury prediction, wearable health devices, and its influence on imaging and diagnostics. A brief overview of AI, along with the subfields of machine learning and deep learning, is provided to help understand their relevance and contribution to the field. The review aims to offer a comprehensive understanding of how AI is revolutionizing sports medicine by improving injury prevention strategies, allowing for more accurate diagnostics, and supporting recovery through personalized treatment plans. As AI continues to evolve, its potential to further shape the future of sports medicine is immense. This review looks forward to the continued advancements in this fast-growing technology and its implications for healthcare, rehabilitation, and overall performance optimization in the world of sports. The integration of AI in sports medicine is paving the way for a more efficient, data-driven approach to athlete care. | ||||
| Keywords | ||||
| machine learning; deep learning; sports injury; AI applications | ||||
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