The Development of a Practical Artificial Intelligence Tool for Diagnosing and Evaluating Autism Spectrum Disorder: Multicenter Study.
Tao ChenYe ChenMengxue YuanMark B GersteinTing-Yu LiHuiying LiangTanya E FroehlichLong LuPublished in: JMIR medical informatics (2020)
Our research suggested that it is possible to identify neuroimaging biomarkers that can distinguish patients with ASD from healthy controls based on the more cost-effective sMRI images of the brain. We also demonstrated the potential of applying data-driven artificial intelligence technology in the clinical setting of neurological and psychiatric disorders, which usually harbor subtle anatomical changes in the brain that are often invisible to the human eye.
Keyphrases
- artificial intelligence
- autism spectrum disorder
- deep learning
- machine learning
- big data
- resting state
- white matter
- endothelial cells
- attention deficit hyperactivity disorder
- cerebral ischemia
- intellectual disability
- functional connectivity
- convolutional neural network
- induced pluripotent stem cells
- multiple sclerosis
- pluripotent stem cells
- climate change
- working memory