Abstract：
The aim of this systematic review is to analyze the literature to determine whether the methods of artificial intelligence are effective in determining age in panoramic radiographs. Searches without language and year limits were conducted in PubMed/Medline, Embase, Web of Science, and Scopus databases. Hand searches were also performed, and unpublished manuscripts were searched in specialized journals. Thirty-six articles were included in the analysis. Significant differences in terms of root mean square error and mean absolute error were found between manual methods and artificial intelligence techniques, favoring the use of artificial intelligence (p < 0.00001). Few articles compared deep learning methods with machine learning models or manual models. Although there are advantages of machine learning in data processing and deep learning in data collection and analysis, non-comparable data was a limitation of this study. More information is needed on the comparison of these techniques, with particular emphasis on time as a variable.
摘要：
本系统综述的目的是分析文献，以确定人工智能方法是否有效地确定全景射线照片中的年龄。在PubMed/Medline中进行了无语言和年份限制的搜索，Embase,WebofScience,和Scopus数据库。还进行了手工搜索，并在专门期刊上搜索未发表的手稿。36篇文章被纳入分析。人工方法和人工智能技术在均方根误差和平均绝对误差方面存在显著差异,有利于使用人工智能(p<0.00001)。很少有文章将深度学习方法与机器学习模型或手动模型进行比较。尽管机器学习在数据处理和深度学习在数据收集和分析方面具有优势，无可比性数据是本研究的局限性.需要更多的信息来比较这些技术，特别强调时间作为一个变量。
