Can we use artificial intelligence to identify patients with Alzheimer's as defined by its biological markers by analysing brain scans?

Explainable AI shows potential in AD diagnosis from amyloid PET, achieving moderate accuracy using pathologically relevant brain regions. To increase accuracy and reduce dataset imbalances, a larger dataset and utilization of tools like stratified cross validation is necessary.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_101507
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Can we use artificial intelligence to identify patients with Alzheimer's as defined by its biological markers by analysing brain scans?

Prince S. Singh, Xiaoxiao Li, Sofia Michopoulou
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Can we use artificial intelligence to identify patients with Alzheimer's as defined by its biological markers by analysing brain scans?

Prince S. Singh, Xiaoxiao Li, Sofia Michopoulou
article en

Abstract

Explainable AI shows potential in AD diagnosis from amyloid PET, achieving moderate accuracy using pathologically relevant brain regions. To increase accuracy and reduce dataset imbalances, a larger dataset and utilization of tools like stratified cross validation is necessary.

Alzheimer s & DementiaVol. 21(S2)
University of British Columbia (CA), University Hospital Southampton NHS Foundation Trust (GB), University of Southampton (GB)
Openalex Percentile: Top 33%
Dementia and Cognitive Impairment Research
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Can we use artificial intelligence to identify patients with Alzheimer's as defined by its biological markers by analysing brain scans? — Prince S. Singh, Xiaoxiao Li, et al. · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS