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Effectiveness of Artificial Intelligence-Based Platform in Administering Therapies for Children With Autism Spectrum

Harini Atturu1, Somasekhar Naraganti2, Bugatha Rajvir Rao3

  • 1Psychiatry, CARE Hospitals, Hyderabad, India.

JMIR Neurotechnology
|December 4, 2025
PubMed

Insights

The CognitiveBotics AI platform significantly improved therapeutic outcomes for children with autism spectrum disorder (ASD) when used with continuous therapy. This technology-assisted learning tool shows promise for enhancing cognitive, social, and developmental skills in children with ASD.

Area of Science:

  • * Pediatric Neurodevelopmental Disorders
  • * Artificial Intelligence in Healthcare
  • * Behavioral Therapy Technologies

Background:

  • * Autism spectrum disorder (ASD) presents complex challenges in childhood development.
  • * Traditional therapies can be augmented by technology-assisted learning platforms.
  • * Evaluating novel AI tools is crucial for improving intervention efficacy.

Purpose of the Study:

  • * To assess the effectiveness of the CognitiveBotics AI platform combined with continuous therapy for children with ASD.
  • * To measure improvements in therapeutic outcomes using standardized clinical assessments.
  • * To evaluate user engagement and progress tracking within the platform.

Main Methods:

  • * A 12-month longitudinal observational study involving 43 children (aged 2-18) diagnosed with ASD.
  • * Utilized the CognitiveBotics AI platform alongside standard therapy, comparing an intervention group (consistent use) with a control group (inconsistent use).
  • * Administered standardized assessments including CARS, Vineland Social Maturity Scale, Developmental Screening Test, and REEL at baseline and endpoint.

Main Results:

  • * The intervention group showed statistically significant improvements in CARS scores (reduced), social age and quotient (increased), developmental age and quotient (increased), and REEL receptive/expressive language scores (increased).
  • * The control group exhibited some improvements, but these were not statistically significant across most measures.
  • * Specific percentage increases for the intervention group included: Social Age (56.84%), Social Quotient (21.57%), Developmental Age (46.49%), Developmental Quotient (14.65%), Receptive Language (56.22%), and Expressive Language (59.93%).

Conclusions:

  • * The CognitiveBotics AI platform serves as an effective supplement to enhance therapeutic outcomes for children with ASD.
  • * The platform demonstrates potential for improving cognitive, social, and developmental domains in ASD interventions.
  • * Future development should focus on broader accessibility, cultural sensitivity, and enhanced user-friendliness.
Abstract

Keywords:
applied behavior analysisartificial intelligenceautism spectrum disorderneurodevelopmental disorderssoftware

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