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Updated: May 10, 2026
05:10
An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System
Published on: March 17, 2023
[Artificial intelligence in pediatric ophthalmology: applications and perspectives].
1Shanxi Eye Hospital Affiliated to Shanxi Medical University, Taiyuan 030002, China.
Summary
Artificial intelligence (AI) offers a strategic solution for improving pediatric eye care, addressing challenges in early detection and treatment of childhood visual impairments. Further development is needed to overcome data limitations and ensure AI
Area of Science:
- Ophthalmology
- Artificial Intelligence
- Public Health
Background:
- Pediatric visual health is critical for lifelong development and national well-being.
- Early detection of childhood visual impairments is hindered by specialist shortages and limited screening.
- Childhood ocular diseases often have insidious onsets, complicating timely intervention.
Purpose of the Study:
- To systematically review the challenges and prospects of AI in pediatric ophthalmology.
- To analyze AI's potential in screening, diagnosis, treatment, and health management for childhood eye conditions.
- To propose a national intelligent platform for integrated pediatric eye health services.
Main Methods:
- Systematic review of AI applications in pediatric ophthalmology.
- Analysis of current bottlenecks, including data scarcity, model robustness, and generalization.
- Exploration of AI's role in screening, precision diagnosis, and full-cycle health management.
Main Results:
- AI adoption is a key strategy to enhance screening and standardize care in pediatric ophthalmology.
- Significant challenges remain, including data quality, model validation, and ethical considerations.
- AI integration requires addressing data scarcity and ensuring robust, generalizable models.
Conclusions:
- AI holds substantial promise for revolutionizing pediatric eye health services.
- Overcoming current challenges is crucial for realizing AI's full potential in this field.
- Developing an open, collaborative national AI platform can create an intelligent, inclusive system for pediatric eye care.
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