Concurrent detection of cognitive impairment and amyloid positivity with a multimodal machine learning-enabled digital cognitive assessment
DCAs that leverage digital technologies to generate advanced metrics, such as the DCR, enable accurate and efficient detection of cognitive impairment associated with AD pathology. They have the potential to empower health systems and primary care providers to help their patients make timely treatment decisions.
Authors
- Karl M. Thompson (ORCID: https://orcid.org/0000-0001-6182-9507)
- Connor Higgins
- David Westfall Bates (ORCID: https://orcid.org/0000-0001-6268-1540)
- Ali Jannati (ORCID: https://orcid.org/0000-0003-0826-1275)
- Russell Banks (ORCID: https://orcid.org/0000-0003-1675-2584)
- John Showalter (ORCID: https://orcid.org/0009-0002-6290-9589)
- Álvaro Pascual‐Leone (ORCID: https://orcid.org/0000-0001-8975-0382)
- Sean Tobyne (ORCID: https://orcid.org/0000-0001-5985-7920)
- Joyce Gomes‐Osman (ORCID: https://orcid.org/0000-0001-6510-0780)
- Claudio Toro‐Serey (ORCID: https://orcid.org/0000-0002-5273-2276)
Institutions
- SIL International (US)
- Harvard University (US)
- University of Miami (US)
- Lemuel Shattuck Hospital (US)
- Hebrew SeniorLife (US)
- Dana-Farber/Harvard Cancer Center (US)
- Michigan State University (US)
Publication Details
- Journal
- Alzheimer s Research & Therapy
- Published
- 2025-12-11
- DOI
- https://doi.org/10.1186/s13195-025-01913-5
- Citations
- 2
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 2.94
Funders
- Alzheimer's Drug Discovery Foundation