Artículo

Hotspots and trends of artificial intelligence in the field of cataracts: a bibliometric analysis

Resumen

Purpose 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.
Bulto, Tadesse Weyuma (57218921685); Chebo, Abdella Kosa (57211658384); Regassa, Hailu Fufa (59527811700); Werku, Birhanu Chalchisa (57793656500); Kloos, Helmut (26643043000)
Scientific mapping of the nexus between entrepreneurial orientation and environmental sustainability: bibliometric analysis
2024
10.3389/fsoc.2024.1461840
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216004215&doi=10.3389%2ffsoc.2024.1461840&partnerID=40&md5=eb475c40557b00c5f84aa42ba2e3e68d
Department of Management, Kotebe University of Education, Addis Ababa, Ethiopia; Department of Business Management, University of Johannesburg, Johannesburg, South Africa; Department of Sociology, Ambo University, Oromia, Ethiopia; Faculty of Resource Management and Economics, Wollega University, Nekemte, Ethiopia; Department of Rural Development and Agricultural Extension, Jimma University, Jimma, Ethiopia; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States
All Open Access; Gold Open Access
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