Are the criteria for diagnosing and treating autism effective? A short review on application of artificial intelligence in autism spectrum disorder

Background and aims: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorderwhich according to the gold standard, diagnostic criteria of ASD are based on behavioral observations.While studies show that the validity and reliability of these criteria are questioned whenaccounting for subjectivity, this is while artificial intelligence is able to process data that is notvisible to the human eye in behavioral observations, and can lead to providing more accurate data.Method: This study summarizes ۱۸ articles in PubMed data center that examine the performanceof artificial intelligence in ASD in the form of a short review.Results: In this paper, some of the research works in the field of application AI (Artificial Intelligence)and ML(Machine Learning) The results show that adjusting models based on genetics,neuroimaging, and VR glasses are more accurate, valid, and reliable.Conclusion: In this review, we examined the diagnostic and treatment criteria used in autism. Theuse of artificial intelligence in diagnosis and treatment shows a bright future in this field, and theuse of artificial intelligence along with expert doctors can increase accuracy and speed in the diagnosisand treatment of patients. Also, by reviewing the studies, it is suggested to conduct morestudies in the field of artificial intelligence tools in the treatment of autistic people.

کلیدواژه ها:

Artificial intelligence ، Autistic Disorder ، Autism Spectrum Disorder