Lyall, Donald;
Kormilitzin, Andrey;
Lancaster, Claire;
Sousa, Jose;
Petermann-Rocha, Fanny;
Buckley, Chris;
Harshfield, Eric;
... Ranson, Janice; + view all
(2023)
Artificial intelligence for dementia—Applied models and digital health.
Alzheimer's and Dementia
10.1002/alz.13391.
(In press).
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Abstract
INTRODUCTION: The use of applied modeling in dementia risk prediction, diagnosis, and prognostics will have substantial public health benefits, particularly as “deep phenotyping” cohorts with multi-omics health data become available. METHODS: This narrative review synthesizes understanding of applied models and digital health technologies, in terms of dementia risk prediction, diagnostic discrimination, prognosis, and progression. Machine learning approaches show evidence of improved predictive power compared to standard clinical risk scores in predicting dementia, and the potential to decompose large numbers of variables into relatively few critical predictors. RESULTS: This review focuses on key areas of emerging promise including: emphasis on easier, more transparent data sharing and cohort access; integration of high-throughput biomarker and electronic health record data into modeling; and progressing beyond the primary prediction of dementia to secondary outcomes, for example, treatment response and physical health. DISCUSSION: Such approaches will benefit also from improvements in remote data measurement, whether cognitive (e.g., online), or naturalistic (e.g., watch-based accelerometry).
| Type: | Article |
|---|---|
| Title: | Artificial intelligence for dementia—Applied models and digital health |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/alz.13391 |
| Publisher version: | https://doi.org/10.1002/alz.13391 |
| Language: | English |
| Additional information: | © 2023 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | AI, applied models, artificial intelligence, dementia, digital health, machine learning, ML |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Division of Psychiatry > Mental Health of Older People |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10170919 |
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