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Updated: May 23, 2026
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
Published on: June 20, 2020
Development and usability of a mobile artificial intelligence platform for the management of childhood developmental
Eun Kyung Choi1, Haemi Choi1, Jungun Kim1
1Department of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Eunpyeong-gu, Republic of Korea.
Abstract:
Introduction: Emerging technologies, particularly artificial intelligence (AI), offer the potential to personalize healthcare for pediatric developmental disorders, but their development presents challenges. Methods: This study introduces IVORY, a mobile AI platform for managing personal health records (PHRs) in children with developmental disorders. IVORY integrates advanced optical character recognition (OCR)-based text recognition models optimized for diverse medical document types and template-matching algorithms, ensuring standardized data processing. The primary features include digitizing medical records, symptom interpretation, and AI-driven health recommendations. Results: Using pretrained OCR algorithms with 126 diverse medical report types, the platform achieved an OCR success rate of 81%. Input data include fMRI interpretations, psychological assessments, and laboratory findings, whereas outputs offer percentile-based insights and treatment recommendations. Caregivers (3.44 ± 0.67) and professionals (3.50 ± 0.63) highly rated the platform for usability. Conclusions: Despite OCR limitations for low-resolution data, IVORY has the potential to enhance data consolidation, accuracy, and scalability in personalized pediatric healthcare.
