Driven by advances in intelligent technology, artificial intelligence (AI) is emerging as the cornerstone of neurosurgical education. By providing personalized learning experiences and enhancing learning outcomes, AI has enriched the avenues and depth of knowledge acquisition for medical students. The integration of AI not only helps medical students master the basic theories and practical skills of neurosurgery more thoroughly, but also lays a solid foundation for them to provide high-quality and efficient medical services in the future. At the same time, the ability of educators to use intelligent technologies further enhances the interactivity and effectiveness of teaching. In order to further ensure the application of AI in neurosurgery teaching, this article explores the strategic integration of AI in neurosurgical education, emphasizing its critical importance in ensuring that teaching methods evolve with the times.
Objective To identify the the key factors influencing the growth of national-level high-caliber talents in medical disciplines through multi-angle and comprehensive research. Methods A questionnaire surveys, data analysis, and in-depth interviews were conducted among medical talents from eastern and western regions, and in-depth interviews were carried out with 8 of these individuals from April to June 2024. The questionnaire results were analyzed for reliability and validity, and a comprehensive analysis was performed in conjunction with the interview results. Results A total of 167 medical talents were surveyed. The reliability analysis of the questionnaire showed a Cronbach’s α value of 0.814, indicating high internal consistency. The KMO and Bartlett’s sphericity test results revealed a KMO value of 0.75, with Bartlett’s test of sphericity yielding a P-value<0.001, suggesting suitability for factor analysis. The validity analysis extracted three common factors with eigenvalues greater than 1, accounting for a cumulative variance contribution rate of 67.136%. The findings from the in-depth interviews were largely consistent with the questionnaire survey results. Conclusions Building on a literature review, this study identifies three main factors influencing the growth of national-level talents in medical disciplines: establishing effective incentive mechanisms, cultivating strategic thinking and a global perspective among national-level talents, and fostering a positive academic atmosphere and cultural environment.
