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

•Artificial intelligence (AI) models were generally effective for physical activity (PA) promotion (16 studies), outcome prediction (7 studies), and pattern recognition (1 study).•Twelve studies found AI-driven interventions, such as mobile apps, recommendation systems, and chatbots improved PA outc...

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Bibliographic Details

Published in:	Journal of sport and health science Vol. 13; no. 3; pp. 428 - 441
Main Authors:	An, Ruopeng, Shen, Jing, Wang, Junjie, Yang, Yuyi
Format:	Journal Article
Language:	English
Published:	China Elsevier B.V 01.05.2024 上海体育大学 Brown School,Washington University,St.Louis,MO 63130,USA%Department of Physical Education,China University of Geosciences Beijing,Beijing 100083,China%School of Kinesiology and Health Promotion,Dalian University of Technology,Dalian 116024,China%Brown School,Washington University,St.Louis,MO 63130,USA Division of Computational and Data Sciences,Washington University,St.Louis,MO 63130,USA Elsevier
Subjects:	Algorithms Artificial Intelligence Deep Learning Exercise Health Promotion - methods Humans Intervention Machine Learning Neural network Physical activity Intervention Neural network Physical activity Artificial intelligence Machine learning
ISSN:	2095-2546, 2213-2961, 2213-2961
Online Access:	Get full text
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