A new research paper explores how artificial intelligence could help doctors and caregivers better support children with autism, according to researchers Hossein Mohammadi Rouzbahani and Hadis Karimipour.

The study focuses on Autism Spectrum Disorder (ASD), which affects social interaction, communication, and can involve repetitive behaviors. Despite medical advances, diagnosing and treating autism remains challenging because symptoms vary widely and require care from multiple types of specialists.

The researchers developed an advanced algorithm that analyzes facial expressions and body language of children during everyday activities. Their AI system, using deep learning models called Xception and ResNet50V2, showed high accuracy in identifying autism.

“This research highlights the transformative potential of AI in improving the diagnosis, treatment, and comprehensive management of ASD,” the authors noted in their paper published on arXiv.

The study suggests AI tools could become valuable assistants to healthcare professionals working with autistic children, potentially leading to earlier diagnosis and more personalized treatment approaches.