Artificial Intelligence (AI)‐based dynamic predictions of longitudinal and survival data of Alzheimer's disease
Using neural network-based Artificial Intelligence (AI) model, we demonstrated that this architecture improves upon prior methods in dynamically updating predictions of AD as new longitudinal data becomes available.
Authors
- Paul Ernest Schulz (ORCID: https://orcid.org/0000-0003-0676-002X)
- Sori Kim Lundin (ORCID: https://orcid.org/0000-0003-1388-7029)
- Cui Tao
- Yong Chen
Institutions
- Jacksonville College (US)
- Mayo Clinic in Florida (US)
- University of Pennsylvania (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_103788
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00