Progress in clinical research and applications of retinal vessel quantification technology based on fundus imaging

Front Bioeng Biotechnol. 2024 Feb 22:12:1329263. doi: 10.3389/fbioe.2024.1329263. eCollection 2024.

Abstract

Retinal blood vessels are the only directly observed blood vessels in the body; changes in them can help effective assess the occurrence and development of ocular and systemic diseases. The specificity and efficiency of retinal vessel quantification technology has improved with the advancement of retinal imaging technologies and artificial intelligence (AI) algorithms; it has garnered attention in clinical research and applications for the diagnosis and treatment of common eye and related systemic diseases. A few articles have reviewed this topic; however, a summary of recent research progress in the field is still needed. This article aimed to provide a comprehensive review of the research and applications of retinal vessel quantification technology in ocular and systemic diseases, which could update clinicians and researchers on the recent progress in this field.

Keywords: artificial intelligence; ocular diseases; retinal vasculature; retinal vessel quantification; systemic diseases.

Publication types

  • Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Public Benifit Technology Research Program of Zhejiang Science and Technology Department (GC21H120001), Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties (SZGSP014) and Sanming Project of Medicine in Shenzhen (SZSM202311012).