The use of artificial intelligence in paediatrics has vastly increased in the last few years. Interestingly, no historical bibliometric study analysing the knowledge development in this specific paediatric field has been performed yet, thus our study aimed to close this gap. References Publication Years Spectrography (RPYS), more precisely CitedReferenceExplorer (CRE) software tool was employed to achieve this aim. We identified 28 influential papers and domain experts validation showed that both, the RPYS method and CRE tool performed adequately in the identification process.
翻译：在过去几年里,在儿科中使用人工智能的情况大大增加,有趣的是,迄今还没有进行历史生物量测研究,分析这个特定儿科领域的知识发展,因此,我们的研究旨在缩小这一差距。参考资料出版年(RPYS ), 更精确的引用咨询专家软件工具(CRE ), 用于实现这一目标。 我们发现28份有影响力的文件和域专家鉴定表明,RPYS方法和CRE工具在身份识别过程中都充分应用了。
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