Bibliometric analysis of research on the application of deep learning to ophthalmology.

ABSTRACT:

Background

Recently, deep learning has become a popular area of research, and has revolutionized the diagnosis and prediction of ocular diseases, especially fundus diseases. This study aimed to conduct a bibliometric analysis of deep learning in the field of ophthalmology to describe international research trends and examine the current research directions.

Methods

This cross-sectional bibliometric analysis examined the development of research on deep learning in the field of ophthalmology and its sub-topics from 2015 to 2024. Visualization of similarities (VOS)-viewer was used to analyze and evaluate 3,055 articles. Data from the articles were collected on a specific date (September 11, 2024) and downloaded from the Web of Science Core Collection (WOSCC) in plain-text forma

SUBMITTER: Zhao M 

PROVIDER: S-EPMC11744151 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature