Operational aspects of deep learning solutions for Alzheimer's disease

![CDATA[Alzheimer's disease (AD) is the most common form of dementia, characterized by severe cognitive decline and neurodegeneration (Dubois et al., 2007). While there has been extensive research on the diagnosis and treatment of AD in recent decades, the capacity of these combative measures is still severely limited. For example, modern AD diagnoses are prone to misdiagnosing different forms of dementia (e.g., diagnosing vascular dementia as AD) and are unable to detect the early (and potentially reversible) stages of the disease (Arevalo-Rodriguez et al., 2015; James et al., 2020). In turn, there is currently no cure for AD and the disease remains one of the leading causes of death worldwide (WHO, 2019). Consequentially, there is a critical need for diagnostic methods that can diagnose AD at an early and curable stage.]]