Zhao Ziqi, Hu Boqian, Xu Kun, Jiang Yizhuo, Xu Xisheng, Liu Yuliang
School of Basic Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Hebei Provincial Hospital of Traditional Chinese Medicine, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Front Oncol. 2024 Sep 3;14:1431142. doi: 10.3389/fonc.2024.1431142. eCollection 2024.
Cervical cancer, a severe threat to women's health, is experiencing a global increase in incidence, notably among younger demographics. With artificial intelligence (AI) making strides, its integration into medical research is expanding, particularly in cervical cancer studies. This bibliometric study aims to evaluate AI's role, highlighting research trends and potential future directions in the field.
This study systematically retrieved literature from the Web of Science Core Collection (WoSCC), employing VOSviewer and CiteSpace for analysis. This included examining collaborations and keyword co-occurrences, with a focus on the relationship between citing and cited journals and authors. A burst ranking analysis identified research hotspots based on citation frequency.
The study analyzed 927 articles from 2008 to 2024 by 5,299 authors across 81 regions. China, the U.S., and India were the top contributors, with key institutions like the Chinese Academy of Sciences and the NIH leading in publications. Schiffman, Mark, featured among the top authors, while Jemal, A, was the most cited. 'Diagnostics' and 'IEEE Access' stood out for publication volume and citation impact, respectively. Keywords such as 'cervical cancer,' 'deep learning,' 'classification,' and 'machine learning' were dominant. The most cited article was by Berner, ES; et al., published in 2008.
AI's application in cervical cancer research is expanding, with a growing scholarly community. The study suggests that AI, especially deep learning and machine learning, will remain a key research area, focusing on improving diagnostics and treatment. There is a need for increased international collaboration to maximize AI's potential in advancing cervical cancer research and patient care.
宫颈癌对女性健康构成严重威胁，其发病率在全球范围内呈上升趋势，在年轻人群体中尤为明显。随着人工智能（AI）的不断发展，其在医学研究中的应用正在扩大，尤其是在宫颈癌研究领域。这项文献计量学研究旨在评估人工智能的作用，突出该领域的研究趋势和潜在的未来方向。
本研究系统地从科学网核心合集（WoSCC）中检索文献，采用VOSviewer和CiteSpace进行分析。这包括考察合作情况和关键词共现情况，重点关注引用期刊与被引用期刊以及作者之间的关系。通过突发排名分析，根据引用频率确定研究热点。
该研究分析了2008年至2024年来自81个地区的5299位作者发表的927篇文章。中国、美国和印度是主要贡献国，中国科学院和美国国立卫生研究院等关键机构在出版物数量上领先。施夫曼·马克是顶尖作者之一，而杰马尔·A被引用次数最多。“诊断学”和《IEEE接入》分别在出版量和引用影响力方面表现突出。“宫颈癌”“深度学习”“分类”和“机器学习”等关键词占主导地位。被引用次数最多的文章是由伯纳·ES等人于2008年发表的。
人工智能在宫颈癌研究中的应用正在扩大，学术群体也在不断壮大。该研究表明，人工智能，尤其是深度学习和机器学习，仍将是一个关键研究领域，重点是改善诊断和治疗。需要加强国际合作，以最大限度地发挥人工智能在推进宫颈癌研究和患者护理方面的潜力。
