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Institute for Research and Education, and the study was learning model to predict the diagnosis of dementia with
coordinated by the Alzheimer’s Therapeutic Research lewy bodies, Alzheimer’s disease, and mild cognitive
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data were disseminated by the Laboratory for Neuro Imaging. 2022;49(2):563-584.
Imaging at the University of Southern California. Farzaneh doi: 10.1007/s00259-021-05483-0
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Applied Intelligent Systems Research in Health (CAISR model to predict a diagnosis of alzheimer disease by using
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Conflict of interest 6. Dosovitskiy A, Beyer L, Kolesnikov A, et al. An Image is
The authors declare no conflicts of interest. Worth 16x16 Words: Transformers for Image Recognition at
Scale. [ArXiv Preprint]; 2020.
Author contributions 7. The Alzheimer’s Disease Neuroimaging Initiative. Alzheimer’s
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Conceptualization: All authors https://adni.loni.usc.edu [Last accessed on 2025 Mar 30].
Formal analysis: Pooriya Khorramyar, Amira Soliman
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Methodology: Pooriya Khorramyar, Amira Soliman need. Advances in Neural Information Processing Systems.
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Writing–original draft: Pooriya Khorramyar
Writing–review & editing: All authors 9. Nobili F, Arbizu J, Bouwman F, et al. European association
of nuclear medicine and European academy of neurology
Ethics approval and consent to participate recommendations for the use of brain F-fluorodeoxyglucose
18
positron emission tomography in neurodegenerative
Please visit the ADNI documentation at https://adni.loni. cognitive impairment and dementia: Delphi consensus. Eur
usc.edu/help-faqs/adni-documentation/. J Neurol. 2018;25(10):1201-1217.
Consent for publication doi: 10.1111/ene.13728
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(MFMER). Positron Emission Tomography Scan. Available
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page at https://adni.loni.usc.edu/. The code is available [Last accessed on 2025 Mar 30].
on the project’s GitHub repository (https://github.com/
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Volume 2 Issue 4 (2025) 44 doi: 10.36922/AIH025140026

