Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs

• Published in: Scientific reports Vol. 12; no. 1; pp. 17106 - 12
• Main Authors: Liu, Sheng, Masurkar, Arjun V., Rusinek, Henry, Chen, Jingyun, Zhang, Ben, Zhu, Weicheng, Fernandez-Granda, Carlos, Razavian, Narges
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 17.10.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/378; 631/378/2612; 692/699/375/132; 692/699/375/132/1283; Alzheimer Disease - diagnostic imaging; Alzheimer's disease; Biomarkers; Clinical trials; Cognitive ability; Cognitive Dysfunction - diagnostic imaging; Deep Learning; Dementia; Dementia disorders; Disease detection; Disease Progression; Early Diagnosis; Humanities and Social Sciences; Humans; Magnetic Resonance Imaging - methods; multidisciplinary; Neural networks; Neurodegenerative diseases; Neuroimaging; Neuroimaging - methods; Science; Science (multidisciplinary)

Early diagnosis of Alzheimer’s disease plays a pivotal role in patient care and clinical trials. In this study, we have developed a new approach based on 3D deep convolutional neural networks to accurately differentiate mild Alzheimer’s disease dementia from mild cognitive impairment and cognitively...