Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis.

Journal: JMIR aging

PMID: 39714089

Abstract

BACKGROUND: To diagnose Alzheimer disease (AD), individuals are classified according to the severity of their cognitive impairment. There are currently no specific causes or conditions for this disease.

Authors

Gopi Battineni

Clinical Research, Telemedicine and Telepharmacy Centre, School of Medicinal and Health Products Sciences, University Camerino, Camerino, Italy.
Nalini Chintalapudi

Clinical Research, Telemedicine and Telepharmacy Centre, School of Medicinal and Health Products Sciences, University Camerino, Camerino, Italy.
Francesco Amenta

Telemedicine and Telepharmacy Centre, University of Camerino, Camerino, Italy Department, International Radiomedical Centre (CIRM), Rome, Italy. francesco.amenta@unicam.it.

Keywords

Alzheimer Disease Cognitive Dysfunction Disease Progression Humans Machine Learning Magnetic Resonance Imaging Prevalence

External Resources

View on PubMed Access via DOI PubMed (39714089)

Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis.

Abstract

Authors

Keywords

External Resources

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