Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that affects communication, social interaction, and behavior. Diagnosing ASD remains a complex task due to the challenges posed by current diagnostic criteria, co-occurring conditions, age-related factors, and cultural biases. This paper explores these complexities and proposes strategies for refining the diagnostic process. By addressing these challenges, we can improve the accuracy and inclusivity of ASD diagnoses across diverse populations. This will benefit individuals with ASD, their families, and healthcare professionals alike.

Autism Spectrum Disorder, ASD, diagnosis, diagnostic criteria, co-occurring conditions, age-related factors, cultural biases.