(Background) Autism increasingly requires a multidisciplinary approach that can effectively harmonize the realms of diagnosis and therapy, tailoring both to the individual. Assistive technologies (ATs) play an important role in this context and hold significant potential when integrated with artificial intelligence (AI). (Objective) The objective of this study is to analyze the state of integration of AI with ATs in autism through a review. (Methods) A review was conducted on PubMed and Scopus, applying a standard checklist and a qualification process. The outcome reported 22 studies, including 7 reviews. (Key Content and Findings) The results reveal an early yet promising interest in integrating AI into autism assistive technologies. Exciting developments are currently underway at the intersection of AI and robotics, as well as in the creation of wearable automated devices like smart glasses. These innovations offer substantial potential for enhancing communication, interaction, and social engagement for individuals with autism. Presently, researchers are prioritizing innovation over establishing a solid presence within the healthcare domain, where issues such as regulation and acceptance demand increased attention. (Conclusions) As the field continues to evolve, it becomes increasingly clear that AI will play a pivotal role in bridging various domains, and integrated ATs with AI are positioned to act as crucial connectors.

As the interest in social and assistive support robots (SASRs) grows, a review of 17 systematic reviews was conducted to assess their use in healthcare, emotional well-being, and therapy for diverse populations, including older adults, children, and individuals with autism and dementia. SASRs have demonstrated potential in alleviating depression, loneliness, anxiety, and stress, while also improving sleep and cognitive function. Despite these promising outcomes, challenges remain in identifying the most effective interventions, refining robot designs, and evaluating long-term impacts. User acceptance hinges on trustworthiness and empathy-driven design. Compared to earlier review studies, recent research emphasizes the ongoing significance of emotional engagement, the refinement of robot functionalities, and the need to address ethical issues such as privacy and autonomy through robust cybersecurity and data privacy measures. The field is gradually shifting towards a user-centered design approach, focusing on robots as tools to augment, rather than replace, human care. While SASRs offer substantial benefits for emotional well-being and therapeutic support, further research is crucial to enhance their effectiveness and address concerns about replacing human care. Algorethics (AI ethics), interdisciplinary collaboration, and standardization and training emerge as key priorities to ensure the responsible and sustainable deployment of SASRs in healthcare settings, reinforcing the importance of rigorous methodologies and ethical safeguards.