Using Artificial Intelligence to discriminate among PPA subtypes from a real‐world language sample
Consistent with previous findings, NLP has the potential to discriminate among PPA subtypes using unstructured language samples. This study underscores the potential of AI tools to classify atypical cognitive-behavioral syndromes. Analyses are ongoing to assess impact of symptom severity (CDR) and to validate findings against structured language samples.
Authors
- Neguine Rezaii (ORCID: https://orcid.org/0000-0002-8967-9237)
- Daisy Hochberg
- Gent Celaj
- Brad C. Dickerson
- Bonnie Wong
Institutions
- Massachusetts General Hospital (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70858_105237
- Primary Topic
- Neurobiology of Language and Bilingualism
- Type
- article
- Field-Weighted Citation Impact
- 0.00