AD‐tracker: a software application to support clinical decision‐making and research ‐ Design and general functionality
The AD-tracker has been designed to combine the power of visualization and complex computations while providing close to real time access to data to a wide range of users. The AD-tracker is an AI project being developed for the research community at large.
Authors
- John Hepler
- Sarah A. Gaussoin (ORCID: https://orcid.org/0000-0003-0850-7888)
- Suzanne Craft (ORCID: https://orcid.org/0000-0003-0591-8657)
- Ganesh Muneshwar Babulal (ORCID: https://orcid.org/0000-0001-7966-3509)
- Courtney L. Sutphen (ORCID: https://orcid.org/0000-0001-5005-2018)
- Ramon Casanova (ORCID: https://orcid.org/0000-0002-6934-5942)
- Syam Gadde (ORCID: https://orcid.org/0000-0003-4156-3961)
- Marc D. Rudolph (ORCID: https://orcid.org/0000-0001-7046-1169)
- Melissa M. Rundle (ORCID: https://orcid.org/0000-0003-4360-216X)
- M. A. Espeland
- Michael William Lutz (ORCID: https://orcid.org/0000-0001-8809-5574)
- Trey Bateman
- Ryan Barnard
- Lauren W Green
Institutions
- Duke University (US)
- Washington University in St. Louis (US)
- Wake Forest University (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70860_100480
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00