JCERJournal of Contemporary Educational Research2208-84662208-8474Bio-Byword Scientific Publishing Pty. Ltd.10.26689/JCER.v10i9.15354ArticleCurrent Status of the Application of Big Data Models in Standardized Residency Training of Orthopedic Residentshttps://artdesignp.com/journal/JCER/10/9/10.26689/JCER.v10i9.15354LuoYuanguo,WuFeng,LiYuxi,ChenGuojian,WuGuodong,ShiDongdong20261092026-09-17Standardized residency training is an essential pathway for cultivating competent orthopedic surgeons, while big-data-based models are reshaping medical education. Based on domestic and international literature published in the past decade, this review summarizes the current application of big data models in standardized residency training of orthopedic residents from five aspects: data-driven process management and individualized teaching, deep-learning based radiograph interpretation training, virtual and augmented reality simulation, large language model-assisted learning and assessment, and predictive analytics for training outcomes. Major challenges include data silos and quality problems, algorithmic opacity and bias, risks of overreliance and hallucination, as well as the lag in evaluation systems and faculty digital literacy. Future efforts should focus on standardized data governance, integration of artificial intelligence literacy into the curriculum, and rigorous educational research to evaluate the real teaching effectiveness, so as to achieve the deep integration of technology empowerment and competency-based training.Big data, Artificial intelligence, Standardized residency training, Orthopedics, Medical education

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