目的:分析白内障领域人工智能(AI)研究的热点和趋势。
方法:WebofScienceCoreCollection的科学引文索引扩展用于收集白内障领域与AI相关的研究文献,分析了有价值的信息,例如年份,国家/地区,期刊,机构,引文,和关键词。通过图书馆在线分析平台生成可视化共现网络图,VOSviewer,和CiteSpace工具。
结果:共选择了来自41个国家的222篇相关研究文章。自2019年以来,相关文章的数量每年都在大幅增加。中国(n=82,24.92%),美国(n=55,16.72%)和印度(n=26,7.90%)是出版物最多的三个国家,占总数的49.54%。白内障和屈光手术杂志(n=13,5.86%)和转化视觉科学与技术(n=10,4.50%)的出版物最多。中山大学(n=25,11.26%),中国科学院(n=17,7.66%),和首都医科大学(n=16,7.21%)是出版物数量最多的三个机构。我们通过关键词分析发现白内障,诊断,成像,分类,人工晶状体,和公式是当前研究的主要课题。
结论:本研究揭示了AI在白内障诊断和人工晶状体屈光力计算方面的热点和潜在趋势。未来,人工智能将在眼科领域变得更加普遍。
OBJECTIVE: To analyze the hotspots and trends in artificial intelligence (AI) research in the field of
cataracts.
METHODS: The Science Citation Index Expanded of the Web of Science Core Collection was used to collect the research literature related to AI in the field of
cataracts, which was analyzed for valuable information such as years, countries/regions, journals, institutions, citations, and keywords. Visualized co-occurrence network graphs were generated through the library online analysis platform, VOSviewer, and CiteSpace tools.
RESULTS: A total of 222 relevant research articles from 41 countries were selected. Since 2019, the number of related articles has increased significantly every year. China (n = 82, 24.92%), the United States (n = 55, 16.72%) and India (n = 26, 7.90%) were the three countries with the most publications, accounting for 49.54% of the total. The Journal of
Cataract and Refractive Surgery (n = 13, 5.86%) and Translational Vision Science & Technology (n = 10, 4.50%) had the most publications. Sun Yat-sen University (n = 25, 11.26%), the Chinese Academy of Sciences (n = 17, 7.66%), and Capital Medical University (n = 16, 7.21%) are the three institutions with the highest number of publications. We discovered through keyword analysis that
cataract, diagnosis, imaging, classification, intraocular lens, and formula are the main topics of current study.
CONCLUSIONS: This study revealed the hot spots and potential trends of AI in terms of
cataract diagnosis and intraocular lens power calculation. AI will become more prevalent in the field of ophthalmology in the future.