Differential diagnosis of neurodegenerative dementias with the explainable MRI based machine learning algorithm MUQUBIA

Biomarker-based differential diagnosis of the most common forms of dementia is becoming increasingly important. Machine learning (ML) may be able to address this challenge. The aim of this study was to develop and interpret a ML algorithm capable of differentiating Alzheimer’s dementia, frontotempor...

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Bibliographic Details
Published in:	Scientific reports Vol. 13; no. 1; pp. 17355 - 19
Main Authors:	De Francesco, Silvia, Crema, Claudio, Archetti, Damiano, Muscio, Cristina, Reid, Robert I., Nigri, Anna, Bruzzone, Maria Grazia, Tagliavini, Fabrizio, Lodi, Raffaele, D’Angelo, Egidio, Boeve, Brad, Kantarci, Kejal, Firbank, Michael, Taylor, John-Paul, Tiraboschi, Pietro, Redolfi, Alberto
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 13.10.2023 Nature Publishing Group Nature Portfolio
Subjects:	639/705/258 639/705/794 692/617 692/617/375/132 692/617/375/365 Algorithms Alzheimer Disease - diagnostic imaging Alzheimer Disease - pathology Biomarkers Dementia Dementia disorders Diagnosis, Differential Differential diagnosis Frontotemporal dementia Humanities and Social Sciences Humans Learning algorithms Lewy bodies Machine Learning Magnetic resonance imaging Magnetic Resonance Imaging - methods multidisciplinary Neuroimaging Prediction models Science Science (multidisciplinary) Substantia alba
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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