Shaping the future of myopia with artificial intelligence: Mapping trends and promising directions

Abstract

Background

The worldwide increase in myopia and its associated complications has sparked a growing interest in the application of artificial intelligence (AI). This study aims to provide a comprehensive bibliometric analysis of the application of AI in myopia.

Methods

Articles and review articles on AI in myopia were retrieved from the Web of Science Core Collection (WoSCC). VOSviewer and CiteSpace served as the core tools for bibliometric analysis.

Results

Our study included a total of 305 relevant articles, with a steady increase in publications observed from 2010 to 2024. The People's Republic of China secured the top position among the most published countries and Capital Medical University and Sun Yat-sen University emerged as the most active institutions. Xu Xun and Zhou Xingtao contributed the most papers in this area. Translational Vision Science & Technology was the most prolific journal. Keywords analysis highlighted myopia management, orthokeratology and atropine, optical coherence tomography, refractive surgery, and myopia complications as key research areas. While notable advancements have been achieved in early screening, precise diagnosis, and progression prediction of myopia, research on intervention prognosis prediction and intervention decision-making remains inadequate.

Conclusions

While AI has revolutionized myopia screening and diagnosis. further investigation is needed into clinical decision-making on interventions for myopia care. Balancing intervention costs, efficacy, and side effects is critical to advancing the development of AI in myopia in the future.