500 Section - The Effects of an Artificial Intelligence—Driven Augmented Reality Program for Hand Function Rehabilitation Program in Children With Cerebral Palsy

Wednesday, May 20, 2026

6:00 PM - 7:30 PM PT

Corresponding Author/Autor a quien dirigir la corr(s)

Eun Jae Ko, MD

Professor
Asan Medical Center
Seoul, Seoul-t'ukpyolsi, Republic of Korea

Presenting Author/Autor expositor(s)

JL

Joon Hee Lee, MD

Resident
Department of Rehabilitation Medicine, Asan Medical Center
Seoul, Kangwon-do, Republic of Korea

Objectives : To evaluate the effectiveness of an AI-based augmented-reality (AR) real-time hand-function rehabilitation program in improving upper extremity function and activities of daily living (ADL) in children with cerebral palsy (CP).

Design: A randomized controlled trial was conducted in 45 children with CP (18 months–7 years 5 months). The intervention group performed an AI-based AR real-time motion hand-function rehabilitation program at home for three 15-minute sessions per week for 8 weeks. The control group received no intervention. The Box and Block Test (BBT) was the primary outcome, and secondary outcomes included the Functional Dexterity Test (FDT), pinch and grip strength, Quality of Upper Extremity Skill Test (QUEST), Pediatric Upper Extremity Motor Activity Log-Revised (PMAL-R), and Pediatric Evaluation of Disability Inventory (PEDI).

Results: Significant time × group interaction effects were found in the BBT and Palmar pinch strength for both hands (p < 0.05) and in the Functional Dexterity Test and tip pinch strength for the non-dominant hand (p < 0.05). Greater improvements in the non-dominant hand’s BBT were associated with higher baseline upper extremity function. Mean compliance was 91.9%, and caregivers reported high satisfaction and reduced rehabilitation burden.

Conclusion: The AI-based augmented reality rehabilitation program, providing engaging and repetitive hand-motion training, was effective in improving upper extremity function in children with CP.