Deep Learning Methods on Recognizing Autism Spectrum Disorder

Neurodevelopmental disorders (NDD) are conditions that impact brain function and interfere with neurological development, resulting in difficulties with social, cognitive, and emotional skills. The most common NDD include autism spectrum disorder (ASD). It is a complicated NDD marked by ongoing difficulties in social communication and interaction, as well as restricted or repetitive behaviors. The origins of ASD are intricate, encompassing a combination of environmental, genetic, and neurobiological factors. This research delves into the latest insights regarding ASD, stressing the critical role of early diagnosis and intervention. To improve long-term outcomes. The study also examines neuroimaging methods, genetic markers, and behavioural assessments that contribute to more precise diagnoses. Furthermore, the paper addresses the variability within ASD, highlighting the need for tailored treatment approaches and the vital role of individualized educational and therapeutic strategies. Despite significant progress, there remain gaps in our comprehension of the underlying mechanisms of ASD, and this research emphasizes the necessity for continued interdisciplinary collaboration. The findings aim to enhance diagnostic accuracy, inform treatment strategies, and improve the overall and improve the overall well-being of life for individuals with ASD and their families.