A scoping review of methodologies for applying artificial intelligence to physical activity interventions.

• An increasing trend was observed of adopting state-of-the-art deep learning and reinforcement learning models over standard machine learning. • Six key areas were identified for future AI adoption: personalized interventions, real-time monitoring and adaptation, multimodal data integration, evaluating effectiveness, expanding access, and preventing injuries. • Exploring emerging AI-driven strategies is essential for optimizing PA interventions and promoting public health.

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Personalized PA interventions A significant trend in the current AI-based PA interventions is the shift towards personalization.

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