Why the study?
Do wearable sensors combined with AI/ML models accurately predict sports injuries and monitor rehabilitation in physically active individuals?
Population
15 studies involving athletes or physically active individuals
Comparison
Wearable sensors combined with AI/ML models vs not specified
Design
Systematic review following PRISMA 2020 guidelines
Key result
AI-integrated wearable systems achieved 86-95% classification accuracy for sports injury prediction, while workload-based models showed a 15-fold increase in injury risk at high workload ratios.
Authors
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AI wearables show promise for athlete injury monitoring; extends evidence synthesis to university physical education contexts.
Systematic Review (n=15)
Do wearable sensors combined with AI/ML models accurately predict sports injuries and monitor rehabilitation in physically active individuals?
AI-integrated wearable systems show high accuracy for sports injury prediction and monitoring, though current evidence is limited by small sample sizes and lack of external validation.
Sharma et al. (2026) conducted a systematic review in Sports injury (n=15). AI-integrated wearable sensors was evaluated on Diagnostic performance for injury prediction and rehabilitation monitoring. AI-integrated wearable systems achieved 86-95% classification accuracy for sports injury prediction, while workload-based models showed a 15-fold increase in injury risk at high workload ratios.
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