Myopia prediction: a systematic review

Xiaotong Han, Chi Liu, Yanxian Chen, Mingguang He

Research output: Journal article publicationReview articleAcademic researchpeer-review

35 Citations (Scopus)

Abstract

Myopia is a leading cause of visual impairment and has raised significant international concern in recent decades with rapidly increasing prevalence and incidence worldwide. Accurate prediction of future myopia risk could help identify high-risk children for early targeted intervention to delay myopia onset or slow myopia progression. Researchers have built and assessed various myopia prediction models based on different datasets, including baseline refraction or biometric data, lifestyle data, genetic data, and data integration. Here, we summarize all related work published in the past 30 years and provide a comprehensive review of myopia prediction methods, datasets, and performance, which could serve as a useful reference and valuable guideline for future research.

Original languageEnglish
Pages (from-to)921-929
Number of pages9
JournalEye (Basingstoke)
Volume36
Issue number5
DOIs
Publication statusPublished - 13 Oct 2021
Externally publishedYes

ASJC Scopus subject areas

  • Ophthalmology
  • Sensory Systems

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