Title: Multimodal learning for dementia assessment
Alzheimer's disease is a major health concern, especially for the elderly. While there have been advancements in diagnostic methods and potential treatments, clinical assessment and traditional tests still play a significant role in diagnosis, even though other forms of dementia can have similar symptoms. As the demand for expertise in this area grows, machine learning is gaining attention as a potential aid in neurologic diagnosis. In this talk, we will discuss our attempts to develop and validate deep learning systems that can process multimodal data and accurately classify individuals with different cognitive statuses, including normal aging, mild cognitive impairment, Alzheimer's disease, and other forms of dementia.
Dr. Ebrahim Bagheri
Canada Research Chair in Software and Semantic Computing NSERC/WL Industrial Research Chair in Social Media Analytics