Title: Impact of AI and deep learning on imaging of neurodegenerative diseases
Abstract: Biomarkers have become increasingly important to understand the biology of neurodegenerative diseases. We now see a paradigm shift recasting the definition of neurodegenerative disease in living people from syndromal to a biological construct. Effective implementation of such biological constructs though requires widespread availability of biomarkers. This talk will address some of the challenges and AI based advances in neuroimaging-based biomarkers for faster, safer, and smarter operationalization of biomarker-based classification, risk assessment, diagnosis, prognosis, and even prediction of therapy responses in neurodegenerative diseases.
