Table 1.

Key elements/points emerging from the overview of reviews on the intersection of AI and ATs.

Review Study	Key Points on the Intersection of AI and ATs in Autism
Muthu et al. [26]	Integration of AI in ATs for enhanced rehabilitation and independence.
Muthu et al. [26]	AI-driven solutions addressing physical impairments, mobility, education, and more.
Muthu et al. [26]	Insights into AI’s role in expanding research areas related to assistive technology.
Datta Barua et al. [27]	AI-assisted tools for improving learning and social interaction in neurodevelopmental disorders.
Datta Barua et al. [27]	Evidence supporting the effectiveness of AI tools in providing personalized education.
Alabdulkareem et al. [28]	Utilization of interactive robots with AI for autism therapy.
Alabdulkareem et al. [28]	Growth in research due to advancements in AI techniques and machine learning.
Ur Rehman et al. [29]	Identification of highly-rated mobile apps for individuals with ASD utilizing AI technologies.
Ur Rehman et al. [29]	Recommendations for enhancing existing applications with AI for personalized support.
Di Pietro et al. [30]	Exploration of AI-driven computer-assisted and robot-assisted therapies for children with autism.
Di Pietro et al. [30]	Focus on identifying AI platforms, professions involved, and outcomes in social skills teaching.
Den Brok et al. [31]	AI-powered self-controlled technologies aiding individuals with autism and intellectual disability.
Den Brok et al. [31]	Use of AI to facilitate the learning of daily living skills and cognitive concepts.
Billard et al. [32]	Application of AI in humanoid robots for assisting low-functioning children with autism.
Billard et al. [32]	AI’s role in assessing imitation ability and teaching coordinated behaviors.