A systematic review: The role of artificial intelligence tools in the diagnosis of autism in children aged 1 to 13 years

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Navaee Parmiss; Razavi Seyed Ali Asghar

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Seminar Paper

Paper Information

Seminar: NATIONAL CONFERENCE ON MANAGEMENT, PSYCHOLOGY AND BEHAVIORAL SCIENCES
Year:2024 | Issue:6

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Title

A systematic review: The role of artificial intelligence tools in the diagnosis of autism in children aged 1 to 13 years

Author(s)

Navaee Parmiss | Razavi Seyed Ali Asghar

Keywords

artificial intelligence

autism

autistic child

retinal image

Abstract

Purpose: To study the research done in the field of artificial intelligence and its relationship with the diagnosis of autism neurobehavioral disorder using artificial intelligence tools. Method: The research method is a systematic review using the Prisma model. The statistical population was 147 researches retrieved from reliable databases (Jama Khabar Medical Journal, Science Direct, Google Scholar, PubMed, and Academic Jihad Scientific Information Center database), which were reviewed after screening 10 researches. Findings: 100% successful diagnosis of autism neurobehavioral disorder in autistic children over 4 years of age through artificial intelligence tools resulted in a revolution. In the conducted researches, researchers have not yet been able to propose an accurate method for the reliable diagnosis of this disorder in children under 4 years of age. Originality and value: This research or review of the studies conducted regarding the direct connection of artificial intelligence tools and algorithms in autism diagnosis is presented and in this research tools and algorithms are introduced and reviewed. Conclusion: Considering the expansion of the science of artificial intelligence in the field of psychology and the recognition of diseases with neurobehavioral disorders, including autism, it can be said that the path ahead is very satisfactory and in the very near future, children suspected of having autism can be diagnosed with tools artificial intelligence started the identification and follow-up process as quickly as possible.

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APA: Copy

Navaee, Parmiss, & Razavi, Seyed Ali Asghar. (2024). A systematic review: The role of artificial intelligence tools in the diagnosis of autism in children aged 1 to 13 years. 3th INTERNATIONAL and 6th NATIONAL CONFERENCE ON MANAGEMENT, PSYCHOLOGY AND BEHAVIORAL SCIENCES. SID. https://sid.ir/paper/1128090/en

Vancouver: Copy

Navaee Parmiss, Razavi Seyed Ali Asghar. A systematic review: The role of artificial intelligence tools in the diagnosis of autism in children aged 1 to 13 years. 2024. Available from: https://sid.ir/paper/1128090/en

IEEE: Copy

Parmiss Navaee, and Seyed Ali Asghar Razavi, “A systematic review: The role of artificial intelligence tools in the diagnosis of autism in children aged 1 to 13 years,” presented at the 3th INTERNATIONAL and 6th NATIONAL CONFERENCE ON MANAGEMENT, PSYCHOLOGY AND BEHAVIORAL SCIENCES. 2024, [Online]. Available: https://sid.ir/paper/1128090/en

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