Predicting amyloid accumulation in subjects with cognitive disorders by using machine learning with <sup>18</sup> F‐FDG‐PET images

The performance of our algorithm to predict amyloid accumulation in subjects with cognitive disorders from <sup>18</sup>FDG-PET images is adequate for use in amyloid PET scan screenings.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_102438
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting amyloid accumulation in subjects with cognitive disorders by using machine learning with 18 F‐FDG‐PET images

Kazunari Ishii, Yuichi Kimura, Hayato Kaida, Takahiro Yamada et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Predicting amyloid accumulation in subjects with cognitive disorders by using machine learning with 18 F‐FDG‐PET images

Kazunari Ishii, Yuichi Kimura, Hayato Kaida, Takahiro Yamada, Kohei Hanaoka
article en

Abstract

The performance of our algorithm to predict amyloid accumulation in subjects with cognitive disorders from <sup>18</sup>FDG-PET images is adequate for use in amyloid PET scan screenings.

Alzheimer s & DementiaVol. 21(S2)
Kindai University Hospital (JP), Kindai University (JP)
Quality Education
Openalex Percentile: Top 32%
Dementia and Cognitive Impairment Research
DOIOpen Access PDFOpenAlex
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