  Current progress in the artificial intelligence domain has led to the
development of various types of AI-powered dementia assessments, which can be
employed to identify patients at the early stage of dementia. It can
revolutionize the dementia care settings. It is essential that the medical
community be aware of various AI assessments and choose them considering their
degrees of validity, efficiency, practicality, reliability, and accuracy
concerning the early identification of patients with dementia (PwD). On the
other hand, AI developers should be informed about various non-AI assessments
as well as recently developed AI assessments. Thus, this paper, which can be
readable by both clinicians and AI engineers, fills the gap in the literature
in explaining the existing solutions for the recognition of dementia to
clinicians, as well as the techniques used and the most widespread dementia
datasets to AI engineers. It follows a review of papers on AI and non-AI
assessments for dementia to provide valuable information about various dementia
assessments for both the AI and medical communities. The discussion and
conclusion highlight the most prominent research directions and the maturity of
existing solutions.
