Introduction
MCI, dementia, Alzheimer’s disease, Dementia, AD
Alzheimer’s disease (AD) accounts for 70% of the causes of dementia, and early diagnosis of AD is important to prevent the delay of dementia treatment [Although we suggested a novel approach for the diagnosis of MCI and/or AD Dementia, it is difficult to ensure reproducibility and generalization of this approach in real-world practice. To obtain more reliable AD prediction results, we performed additional trials for independent extra-validation and applied several machine learning algorithms for robust reproducibility and generalization in real-world practice. Through two independent, patient-level, single-group, diagnostic intervention trials, we investigated the potential diagnostic efficacy of olfactory-stimulated fNIRS using machine learning algorithms and quantified this approach through artificial intelligence (AI)-driven fields.