REVOLUTIONIZING AUTISM CARE: THE ROLE OF AI-DRIVEN TOOLS IN ENHANCING INTERVENTIONS FOR CHILDREN WITH AUTISM SPECTRUM DISORDER

Abstract

Autism Spectrum Disorder (ASD) is a condition related to brain development that affects social interaction and communication. Among the symptoms of ASD are reduced eye contact, differences in body language, lack of facial expressions and repeating gestures or sounds. There are various traditional treatment methods such as communication therapy, but there are also many challenges that need to be faced such as lack of resources, high costs, limited access, and a lack of tailored solutions. With the existence of Artificial intelligence (AI), various techniques, applications and devices are introduced to overcome this problem by using tools such as machine learning, virtual reality, and AI-driven wearables. This technology has great potential for early diagnosis, personalized therapy, communication support, and real-time progress tracking. It also helps in reducing costs, fill resource gaps, and give caregivers practical insights. Although there are many advantages of AI, challenges such as data quality, algorithm bias, privacy concerns, and accessibility still need to be seen. Experts emphasize the need for collaboration across disciplines and ethical practices to ensure these tools are effective and fair. With continued research and thoughtful application, AI could also support other developmental conditions, making healthcare more personalized and inclusive for children with ASD and their families.