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Phys. Eng. Express"],"published-print":{"date-parts":[[2025,5,30]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Alzheimer\u2019s disease (AD), a progressive neurodegenerative disorder, is the leading cause of dementia worldwide and remains incurable once it begins. Therefore, early and accurate diagnosis is essential for effective intervention. Leveraging recent advances in deep learning, this study proposes a novel diagnostic model based on the 3D-ResNet architecture to classify three cognitive states: AD, mild cognitive impairment (MCI), and cognitively normal (CN) individuals, using MRI data. The model integrates the strengths of ResNet and 3D convolutional neural networks (3D-CNN), and incorporates a special attention mechanism(SAM) within the residual structure to enhance feature representation. The study utilized the ADNI dataset, comprising 800 brain MRI scans. The dataset was split in a 7:3 ratio for training and testing, and the network was trained using data augmentation and cross-validation strategies. The proposed model achieved 92.33% accuracy in the three-class classification task, and 97.61%, 95.83%, and 93.42% accuracy in binary classifications of AD versus CN, AD versus MCI, and CN versus MCI, respectively, outperforming existing state-of-the-art methods. Furthermore, Grad-CAM heatmaps and 3D MRI reconstructions revealed that the cerebral cortex and hippocampus are critical regions for AD classification. These findings demonstrate a robust and interpretable AI-based diagnostic framework for AD, providing valuable technical support for its timely detection and clinical intervention.<\/jats:p>","DOI":"10.1088\/2057-1976\/add73d","type":"journal-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T18:47:39Z","timestamp":1747075659000},"page":"035031","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["MRI-based diagnostic model for Alzheimer\u2019s disease using 3D-ResNet"],"prefix":"10.1088","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-3882-3109","authenticated-orcid":true,"given":"Dongkui","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuanlong","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1306-5052","authenticated-orcid":true,"given":"Hongbo","family":"Mu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2025,5,21]]},"reference":[{"key":"bpexadd73dbib1","doi-asserted-by":"publisher","first-page":"3708","DOI":"10.1002\/alz.13809","article-title":"2024 Alzheimer\u2019s disease facts and figures","volume":"20","author":"Alzheimer's Association Report","year":"2024","journal-title":"Alzheimer\u2019s & Dementia: The Journal of The Alzheimer\u2019s Association"},{"key":"bpexadd73dbib2","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1017\/S1041610204000092","article-title":"Is MCI really just early dementia? a systematic review of conversion studies","volume":"16","author":"Bruscoli","year":"2004","journal-title":"International Psychogeriatrics"},{"key":"bpexadd73dbib3","doi-asserted-by":"publisher","first-page":"2732","DOI":"10.1093\/brain\/awv191","article-title":"The behavioural\/dysexecutive variant of Alzheimer\u2019s disease: clinical, neuroimaging and pathological features","volume":"138","author":"Ossenkoppele","year":"2015","journal-title":"Brain"},{"key":"bpexadd73dbib4","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.3233\/JAD-230326","article-title":"Pathogenesis, animal models, and drug discovery of Alzheimer\u2019s Disease","volume":"94","author":"Xia","year":"2023","journal-title":"Journal of Alzheimer\u2019s disease : JAD"},{"key":"bpexadd73dbib5","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1186\/alzrt143","article-title":"Dementia: a global health priority - highlights from an ADI and world health organization report","volume":"4","author":"Wortmann","year":"2012","journal-title":"Alzheimer\u2019s Research & Therapy"},{"key":"bpexadd73dbib6","doi-asserted-by":"publisher","first-page":"1563","DOI":"10.1212\/wnl.50.6.1563","article-title":"Preclinical prediction of Alzheimer\u2019s disease using SPECT","volume":"50","author":"Johnson","year":"1998","journal-title":"Neurology"},{"key":"bpexadd73dbib7","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1016\/S1474-4422(14)70090-0","article-title":"Advancing research diagnostic criteria for Alzheimer\u2019s disease: the IWG-2 criteria","volume":"13","author":"Dubois","journal-title":"The Lancet. 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