Clinical Decision Support for Alzheimer's: Challenges in Generalizable Data-Driven Approach.
Authors
Gao T,Madanian S,Templeton J,Merkin A
Affiliations (4)
Affiliations (4)
- Department of Mathematical Sciences, AUT, New Zealand.
- Department of Data Science and Artificial Intelligence, AUT, New Zealand.
- College of Engineering, University of South Florida, Tampa, FL, USA.
- Department of Clinical Sciences, AUT, Auckland, New Zealand.
Abstract
This paper reviews the current research on Alzheimer's 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.
Topics
Alzheimer DiseaseDecision Support Systems, ClinicalDeep LearningJournal ArticleReview