1.Research Questions
How can AI enhance ASD diagnosis accuracy?
What are the most effective AI models for ASD subtype classification?
How do genetic and behavioral contribute to AI-driven ASD diagnosis?
2.Objectives
Develop AI tools for early and precise ASD diagnosis.
Classify ASD subtypes using AI to improve personalized treatment strategies.
Integrate diverse data sources to enhance AI model performance.
3.Scientific Rationale
Unmet need for early ASD diagnosis and intervention
Potential of AI in pattern recognition within complex medical data
Synergy of interdisciplinary data (genetics, behavior, imaging) in AI models
4.To disseminate our model and findings, we aim to publish a research paper and make our model publicly available on GitHub, thereby contributing to the enhancement of diagnostic accuracy in the field.
