Chief & Presenting Author: Dr.Kirandeep Kaur

Co Author(s): Dr.Bharat Gurnani

Abstract

Pediatric ophthalmology, enriched by AI, enhances precision, efficiency, and personalization in pediatric care. This video highlights AI’s transformative impact on diagnosis, treatment, and access in this field. AI tools excel in early vision screening, detecting visual disorders promptly, and allowing timely interventions during crucial developmental phases. Machine learning algorithms analyze retinal images and ocular data, identifying refractive errors, amblyopia, and other conditions critical for a child's visual growth. In diagnostics, AI demonstrates strong pattern recognition, processing diverse data and incorporating patient-specific factors for accurate diagnoses and customized treatment plans, crucial for young patients who may struggle to communicate symptoms. Treatment planning benefits from AI’s data insights. AI-driven telemedicine extends care accessibility, offering remote consultations and support valuable for underserved areas, ensuring equitable pediatric eye care.