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Updated: Jul 12, 2025

Binocular Dynamic Visual Acuity in Eyeglass-Corrected Myopic Patients
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Machine Learning Models for Predicting Long-Term Visual Acuity in Highly Myopic Eyes.

Yining Wang1, Ran Du1,2, Shiqi Xie1

  • 1Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.

JAMA Ophthalmology
|October 26, 2023
PubMed
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Artificial intelligence models can predict future visual acuity in patients with high myopia. These tools help identify individuals at risk of vision loss, enabling proactive clinical management.

Area of Science:

  • Ophthalmology
  • Artificial Intelligence
  • Machine Learning

Background:

  • High myopia presents a growing global health challenge, increasing the risk of severe visual impairment from pathologic myopia.
  • Early identification of patients at risk for vision reduction is crucial for effective management.

Purpose of the Study:

  • To develop and evaluate machine learning models for predicting visual acuity (VA) at 3 and 5 years in individuals with high myopia.
  • To assess the models' ability to predict the risk of visual impairment within 5 years.

Main Methods:

  • A retrospective cohort study analyzed data from 967 patients (1616 eyes) with known best-corrected VA (BCVA) at 3 and 5 years.
  • Thirty-four clinical and imaging variables were used to train regression and classification models.

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Last Updated: Jul 12, 2025

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  • Model performance was assessed using discrimination metrics, calibration, and decision curve analysis; variable importance was determined using explainable AI.

    • Main Results:

    • Support vector machines and random forest models showed strong predictive performance for BCVA at 3 and 5 years, respectively.
    • A logistic regression model effectively predicted the risk of visual impairment at 5 years (AUC = 0.870).
    • Key predictors for visual impairment included baseline BCVA, prior myopic macular neovascularization, age, and severity of myopic maculopathy.

    Conclusions:

    • Developing AI-driven models to predict long-term visual acuity in high myopia is feasible using clinical and imaging data.
    • These predictive models offer a valuable tool for clinical assessment and proactive management of high myopia patients.