{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:03:43Z","timestamp":1755219823852,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686080","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:p>This paper reviews the current research on Alzheimer\u2019s disease and the use of deep learning, particularly 3D-convolutional neural networks (3D-CNN), in analyzing brain images. It presents a predictive model based on MRI and clinical data from the ADNI dataset, showing that deep learning can improve diagnosis accuracy and sensitivity. We also discuss potential applications in biomarker discovery, disease progression prediction, and personalised treatment planning, highlighting the ability to identify sensitive features for early diagnosis.<\/jats:p>","DOI":"10.3233\/shti251211","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:44:38Z","timestamp":1754567078000},"source":"Crossref","is-referenced-by-count":0,"title":["Clinical Decision Support for Alzheimer\u2019s: Challenges in Generalizable Data-Driven Approach"],"prefix":"10.3233","author":[{"given":"Tianzheng","family":"Gao","sequence":"first","affiliation":[{"name":"Department of Mathematical Sciences, AUT, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7489-550X","authenticated-orcid":false,"given":"Samaneh","family":"Madanian","sequence":"additional","affiliation":[{"name":"Department of Data Science and Artificial Intelligence, AUT, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Templeton","sequence":"additional","affiliation":[{"name":"College of Engineering, University of South Florida, Tampa, FL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandr","family":"Merkin","sequence":"additional","affiliation":[{"name":"Department of Clinical Sciences, AUT, Auckland, New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI251211","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:44:38Z","timestamp":1754567078000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251211"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251211","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}