Implementation of an AI-enhanced motor and cognitive intervention: a case study in developmental delay

Area of Science:

• Pediatric Therapy
• Artificial Intelligence in Healthcare
• Developmental Psychology

Background:

• Developmental delay impacts motor and cognitive functions in children.
• Traditional interventions may benefit from enhanced engagement and personalization.
• AI offers potential for adaptive and tailored therapeutic solutions.

Purpose of the Study:

• To explore the implementation of an AI-enhanced intervention for a child with developmental delay.
• To assess the impact of AI-driven motor and cognitive activities on a 7-year-old child's development.

Main Methods:

• A case study with an A-B (pre-test, intervention, post-test) design over 12 weeks.
• Utilized AI tools (Lumosity, Just Dance, Cogmed) for tailored motor and cognitive exercises.
• Evaluated outcomes using the Bruininks-Oseretsky Test of Motor Proficiency-2 Brief Form (BOT-2 BF) and the Dynamic Occupational Therapy Cognitive Assessment for Children (DOTCA-Ch).

Main Results:

• Significant improvements observed in BOT-2 BF scores, indicating enhanced motor coordination.
• Significant improvements noted in DOTCA-Ch scores, reflecting enhanced cognitive abilities.
• The AI-enhanced intervention proved effective in addressing developmental delays.

Conclusions:

• AI-enhanced interventions show potential for addressing developmental delays through adaptive and engaging activities.
• Integration of AI tools into pediatric therapy is feasible and effective.
• Further research on generalizability and long-term effects of AI in therapy is warranted.