Augmenting Neurological Disorder Prediction and Rehabilitation
Using Artificial Intelligence focuses on how the neurosciences can
benefit from advances in AI, especially in areas such as medical
image analysis for the improved diagnosis of Alzheimer's disease,
early detection of acute neurologic events, prediction of stroke,
medical image segmentation for quantitative evaluation of
neuroanatomy and vasculature, diagnosis of Alzheimer's Disease,
autism spectrum disorder, and other key neurological disorders.
Chapters also focus on how AI can help in predicting stroke
recovery, and the use of Machine Learning and AI in personalizing
stroke rehabilitation therapy. Other sections delve into Epilepsy
and the use of Machine Learning techniques to detect epileptogenic
lesions on MRIs and how to understand neural networks.
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