An Examination of the Function of Artificial-Intelligence in the Diagnosis of Autism-Spectrum-Disorder

Autism Spectrum Disorder (ASD) is a brain disease that makes it hard to do things over and over, connect with others, and talk. Early identification is very important, even if biology is the main reason. ML seems like a hopeful way to identify the condition more quickly and cheaply. This study uses different machine learning methods to find important ASD traits in order to make the testing process better and more automated. Due to the fast development of artificial intelligence, it is now possible to use smart methods to do early, large-scale, and pointless screening and detection of autism. In the future, researchers should work on creating an intelligent medical screening and detection system for autism patients, as well as screening tools and a patient recognition model that is smart and uses multiple types of data.