MRI Deep Learning-Based Solution for Alzheimer’s Disease Prediction

Cristina L. Saratxaga, Iratxe Moya, Artzai Picón, Marina Acosta, Aitor Moreno-Fernández-de-Leceta, Estíbaliz Garrote, Arantza Bereciartua

Journal of Personalized Medicine 2021 article cited by 131

Source Open-access PDF More in Medicine & Health

importance 8/10 ai assisted Dementia and Cognitive Impairment Research dementia diagnostics stage: research

Problem

Diagnosing Alzheimer's disease and determining its stage early from MRI brain scans, so patients can begin preventive care and treatment sooner.

Why it matters

Earlier Alzheimer's diagnosis enables earlier intervention in a progressive, incurable disease affecting millions.

What the AI did

A deep learning and image processing method analyzed open-access MRI scans (OASIS dataset) to automatically diagnose Alzheimer's and classify disease stage.

Results

Balanced accuracy up to 0.93 for automated diagnosis and 0.88 for disease staging

Impact

Method outperformed or compared with previous literature works on public data, per abstract.

Record

Venue	Journal of Personalized Medicine
Published	2021
Work type	article
Authors	Cristina L. Saratxaga, Iratxe Moya, Artzai Picón, Marina Acosta, Aitor Moreno-Fernández-de-Leceta, Estíbaliz Garrote, Arantza Bereciartua
Citations	131 (OpenAlex, at import time)
References	67
Model or method	not stated in source
Organization	not stated in source
Primary source	https://doi.org/10.3390/jpm11090902
Open access	gold
Keywords	Alzheimer's, MRI, deep learning, diagnosis, OASIS, balanced accuracy

Importance rating

8 / 10

major — millions of lives, an industry or a field

Alzheimer's is a progressive, incurable neurodegenerative disease; earlier diagnosis enables earlier intervention, but the abstract gives no scale.

Basis: inferred. Judged from the source text, which gives no explicit scale. Stated scale: not stated in source. Method and limits.

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