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Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System
Published on: March 17, 2023
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Novel artificial intelligence applications for pediatric retina
Bani Antonio-Aguirre1, Ashwin Gadiraju1, Vahid Ownagh1
1Department of Ophthalmology, Duke Eye Center.
Current Opinion in Ophthalmology
|September 18, 2025
Summary
Artificial intelligence (AI) offers advanced solutions for detecting pediatric retinal diseases. These AI systems improve early diagnosis, streamline care, and increase access to essential ophthalmology services, reducing preventable childhood blindness.
Area of Science:
- Ophthalmology
- Medical Technology
- Artificial Intelligence
Background:
- Pediatric retinal diseases pose a significant threat to childhood vision.
- Early detection and management are crucial for preventing vision impairment.
Purpose of the Study:
- To review the role of artificial intelligence (AI) in detecting and managing pediatric retinal diseases.
- To highlight AI systems achieving expert-level performance in classifying fundus abnormalities.
- To explore AI's potential as assistive or autonomous tools for early identification, referral, and care delivery.
Main Methods:
- Review of emerging AI systems for pediatric retinal disease detection.
- Focus on AI models with expert-level performance in classifying fundus abnormalities.
- Analysis of AI applications in clinical settings for screening and decision support.
Main Results:
- AI systems demonstrate high diagnostic accuracy for conditions like retinopathy of prematurity, pediatric myopia, diabetic retinopathy, and retinoblastoma.
- AI shows potential in real-world screening, clinical decision-making, and guiding early intervention.
- Autonomous AI systems enhance access in underserved and remote areas, integrating with advanced imaging techniques.
Conclusions:
- AI is poised to transform pediatric retina care with scalable, accurate, and accessible screening.
- AI systems enhance clinical expertise, reduce variability, and facilitate timely referrals.
- Integration of AI into clinical settings will improve early detection and decrease global childhood blindness.
