【摘要】 目的 人工智能发展迅速，其应用于肺部肿瘤领域的研究论文数量增幅较大，明确该领域的研究热点及未来趋势，为后续研究提供重要参考。方法 在Web of Science检索2013—2024年关于人工智能应用于肺部肿瘤的文献，运用CiteSpace软件进行可视化分析。结果 最终纳入5 327篇文献。年发文量逐年增长，中国和美国处于领先地位；中国科学院、哈佛大学和德克萨斯大学发文量排行前三，但研究者和机构之间缺乏跨区域合作。分析关键词和文献被引结果，研究热点主要集中在医学图像分析。结论 人工智能在肺部肿瘤领域的应用研究呈上升趋势，肺部肿瘤的诊断与分类、预测肺癌化疗反应及预后分析是当前的研究热点，而图像分析和人工智能算法性能的提升可能会成为未来的研究趋势。更多还原

【Abstract】 Objective To identify the research hotspots and future trends in the application of artificial intelligence(AI) in lung tumors, given the rapid development of AI and the significant increase in related research papers, and to provide crucial references for subsequent studies. Methods Literature on the application of AI in lung tumors from 2013 to 2024 was retrieved from the Web of Science database, and visual analysis was performed using CiteSpace software. Results A total of 5 327 articles were ultimately included. The annual number of publications has been increasing year by year, with China and the United States taking the lead. The Chinese Academy of Sciences, Harvard University, and the University of Texas ranked among the top three institutions in terms of publication output. However, cross-regional cooperation among researchers and institutions was lacking. Analysis of keywords and citation results showed that research hotspots were mainly concentrated in medical image analysis. Conclusion Research on the application of AI in lung tumors is on an upward trend. Diagnosis and classification of lung tumors, prediction of chemotherapy response, and prognostic analysis are current research hotspots. Furthermore, improvement of image analysis and performance of AI algorithms may become future research trends.更多还原