Advancements and Frontiers in Autism Diagnosis and Treatment Based on Artificial Intelligence

doi:10.11871/jfdc.issn.2096-742X.2024.03.002

Abstract

Abstract:

[Objective] In recent years the rapid advancements in artificial intelligence and sensing technologies have introduced new tools and directions for the diagnosis and treatment of autism. This paper provides a literature review of artificial intelligence-based diagnostic and intervention techniques for autism, providing guidance for future work. [Coverage] We retrieve relevant papers by keyword search from mainstream conferences and journals and summarize them. [Methods] This paper encompasses developments in clinical manual diagnosis, AI-driven diagnostic, and AI-based intervention, each utilizing different methods and sensing technologies. [Results] Artificial intelligence-based diagnostic and intervention techniques for autism can help to overcome clinical limitations, such as subjectivity, long time consumption, and resource scarcity. [Limitations] The reviewed literature consists of mostly recent works, earlier works may be missing. [Conclusions] By analyzing the influence of the latest artificial intelligence tools on the diagnosis and treatment of autism, and elucidating the challenges and prospects of artificial intelligence-assisted autism diagnosis and treatment, the theoretic and technological work for artificial intelligence-assisted autism diagnosis and treatment is promoted.

Key words: autism, artificial intelligence, early diagnosis and treatment, multimodal perception, human-computer interaction

WANG Zhiyong, LIU Jingjing, WANG Xinming, CHEN Bowen, NIE Wei, ZHANG Hanlin, LIU Honghai. Advancements and Frontiers in Autism Diagnosis and Treatment Based on Artificial Intelligence[J]. Frontiers of Data and Computing, 2024, 6(3): 15-27, https://cstr.cn/32002.14.jfdc.CN10-1649/TP.2024.03.002.

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