Novel artificial intelligence applications for pediatric retina

AI holds transformative promise for pediatric retina care by providing scalable, accurate, and accessible screening solutions. These systems have demonstrated to enhance clinical expertise, minimize interobserver variability, facilitate timely referrals and support decision-making. As integration of algorithms into clinical and community settings is established, AI is poised to become an essential component of pediatric ophthalmology, improving early detection and reducing the global burden of preventable childhood blindness.

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Publication Details

Journal
Current Opinion in Ophthalmology
Published
2025-09-18
DOI
https://doi.org/10.1097/icu.0000000000001168
Citations
3
Primary Topic
Retinopathy of Prematurity Studies
Type
article
Field-Weighted Citation Impact
4.08
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article

Novel artificial intelligence applications for pediatric retina

Vahid Ownagh, Lejla Vajzovic, Bani Antonio‐Aguirre, Ashwin Gadiraju
3 citations
Current Opinion in Ophthalmology
Retinopathy of Prematurity Studies
4.08
article

Novel artificial intelligence applications for pediatric retina

Vahid Ownagh, Lejla Vajzovic, Bani Antonio‐Aguirre, Ashwin Gadiraju
article en
3 citations

Abstract

AI holds transformative promise for pediatric retina care by providing scalable, accurate, and accessible screening solutions. These systems have demonstrated to enhance clinical expertise, minimize interobserver variability, facilitate timely referrals and support decision-making. As integration of algorithms into clinical and community settings is established, AI is poised to become an essential component of pediatric ophthalmology, improving early detection and reducing the global burden of preventable childhood blindness.

Current Opinion in OphthalmologyVol. 36(6)
Duke University (US), Eye Center (SA)
Openalex Percentile: Top 6%
Retinopathy of Prematurity Studies
4.08
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