Review of assessment methods for dementia

Background More than 50 million people worldwide live with various types of dementia, which incorporates a progressive decline in patients' cognition. Early detection dementia older adults is crucial and helps them apply for intervention programs. Numerous assessment methods have been developed to be used clinical practice help clinicians accurately detect diagnose its types. The recent advancement the artificial intelligence domain has revolutionized early allowed use AI-based technologies detecting at very mild stage. AI community aims develop valid, efficient, practical, reliable, accurate dementia; thus, community, this paper reviews recently technologies, particularly language speech techniques. Moreover, it collects information about available datasets, python libraries developing methodologies dementia. Method We extracted around 300 peer-reviewed articles from PubMed MEDLINE related (i.e., focusing on automated speech-based methods) cognitive, behavioral, neurophysiological, functional methods. Result By reviewing more methods, we listed advantages limitations machine learning scripts, Conclusion could provide valuable better progress quick, accurate, multicultural, practical high specificity sensitivity. can beneficial mental health learn known