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- Title
Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence.
- Authors
Leonardsen, Esten H.; Persson, Karin; Grødem, Edvard; Dinsdale, Nicola; Schellhorn, Till; Roe, James M.; Vidal-Piñeiro, Didac; Sørensen, Øystein; Kaufmann, Tobias; Westman, Eric; Marquand, Andre; Selbæk, Geir; Andreassen, Ole A.; Wolfers, Thomas; Westlye, Lars T.; Wang, Yunpeng
- Abstract
Deep learning approaches for clinical predictions based on magnetic resonance imaging data have shown great promise as a translational technology for diagnosis and prognosis in neurological disorders, but its clinical impact has been limited. This is partially attributed to the opaqueness of deep learning models, causing insufficient understanding of what underlies their decisions. To overcome this, we trained convolutional neural networks on structural brain scans to differentiate dementia patients from healthy controls, and applied layerwise relevance propagation to procure individual-level explanations of the model predictions. Through extensive validations we demonstrate that deviations recognized by the model corroborate existing knowledge of structural brain aberrations in dementia. By employing the explainable dementia classifier in a longitudinal dataset of patients with mild cognitive impairment, we show that the spatially rich explanations complement the model prediction when forecasting transition to dementia and help characterize the biological manifestation of disease in the individual brain. Overall, our work exemplifies the clinical potential of explainable artificial intelligence in precision medicine.
- Subjects
ARCHITECTURE; INTELLECT; MILD cognitive impairment; PREDICTION models; EARLY medical intervention; RESEARCH funding; ARTIFICIAL intelligence; BRAIN; MAGNETIC resonance imaging; DESCRIPTIVE statistics; LONGITUDINAL method; NEUROLOGICAL disorders; TRANSITIONAL care; CASE-control method; DEEP learning; ARTIFICIAL neural networks; TECHNOLOGY; DEMENTIA; MACHINE learning; MEDICINE; COMPARATIVE studies; DEMENTIA patients; BRAIN mapping; COGNITION; DISEASE complications
- Publication
NPJ Digital Medicine, 2024, Vol 7, Issue 1, p1
- ISSN
2398-6352
- Publication type
Article
- DOI
10.1038/s41746-024-01123-7