AI and big data personalized training protocol for Chinese youth basketball.

ABSTRACT: Youth basketball talent development in China faces multiple challenges-homogeneous training methods, insufficient attention to individual differences, and a lack of systematic, evidence-based decision-making. This study protocol describes the design and planned validation of an AI- and big-data-driven personalized training system aimed at testing whether integrated multidimensional data and dynamic feedback can improve talent identification and training outcomes in Chinese youth basketball. The protocol outlines the randomized effectiveness trial, process evaluation, and implementation measures that will be used to evaluate feasibility, potential efficacy, and adoption. A mixed-methods, randomized controlled pretest-posttest design will be implemented. One hundred youth basketball athletes

SUBMITTER: Wu A 

PROVIDER: S-EPMC12864852 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature