The application of machine learning and deep learning to Ophthalmology: A bibliometric study (2000-2021)
Authors: Han Wang, Zefeng Li
Abstract: Machine learning (ML) and deep learning (DL) are an advanced technology for the latest 20 years, which has been applied for multiple fields. This study utilizes methods of text mining and bibliometric analysis to explore applications of ML and DL to Ophthalmology. 50-ML-related and 60-DL-related papers from Web of Science (WOS), 15-ML-related and 38-DL-related articles from China National Knowledge Infrastructure (CNKI) are explored from 2000 to 2021. A descriptive analysis of major article, developing trends, journal releasing, topic mapping and quotation relationships is implemented in this paper. Leading authors, institutions, and journals in the related research are identified. Findings show that there is a significant difference between DL and ML studies pertaining to the application of Artificial Intelligence (AI) for Ophthalmology, especially for the hot-topic mapping and institutions.
Keywords: Deep Learning, Machine Learning, Artificial Intelligence, Ophthalmology, Bibliometric Study
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