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Updated: Jul 22, 2025

Binocular Dynamic Visual Acuity in Eyeglass-Corrected Myopic Patients
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Artificial intelligence and digital solutions for myopia.

Yong Li1,2, Michelle Y T Yip1, Daniel S W Ting1,2

  • 1Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.

Taiwan Journal of Ophthalmology
|July 24, 2023
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and digital technologies offer promising solutions for managing myopia, a growing global health concern. These innovations aid in early detection, risk assessment, and personalized treatment to prevent vision impairment.

Keywords:
Artificial intelligencedigital technologymyopiatelemedicine

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Area of Science:

  • Ophthalmology
  • Medical Informatics
  • Public Health

Background:

  • Myopia is a significant global public health issue, leading to visual impairment and increased risk of pathologic myopia.
  • Current healthcare systems face a growing burden from myopia and its complications, necessitating improved management strategies.

Purpose of the Study:

  • To explore the potential of artificial intelligence (AI) and digital technologies in addressing unmet needs in myopia management.
  • To review AI applications and digital advancements for myopia detection, prediction, and control.

Main Methods:

  • Review of emerging AI technologies (multimodal AI, explainable AI, federated learning, automated machine learning, blockchain) for myopia.
  • Examination of digital technology advancements (digital therapeutics, wearables, VR/AR) for myopia monitoring and control.

Main Results:

  • AI enables automated screening, risk stratification, and prediction of myopia progression in children and adults.
  • Digital technologies offer new avenues for monitoring myopia and implementing control strategies.
  • Novel AI approaches show potential to enhance prediction accuracy, safety, and accessibility.

Conclusions:

  • AI and digital technologies hold significant potential to mitigate the global burden of myopia.
  • Implementation challenges include infrastructure, resource requirements, and data management safety.
  • This evolving field promises innovative solutions for early detection, intervention, and treatment of myopia and its complications.