Cognitive Assessment of Dementia Patients Using Large Language Models
This study highlights the potential of LLMs in predicting cognitive function for dementia patients using EHRs. Larger LLMs showed superior performance, while the CoT and summary strategies improved interpretability but may slightly impair performance. The results highlight the necessity for further adoption and optimization of LLM modeling and reasoning strategies to better handle clinical text, minimizing hallucinations and improving reliability. Integrating LLMs into cognitive assessment workflows could enhance efficiency and accessibility, supporting more effective dementia care and management.
Authors
- Richard Wyss
- Jiageng Wu (ORCID: https://orcid.org/0000-0003-0984-0818)
- Josh C. H. Lin
- Jie Yang
Institutions
- Brigham and Women's Hospital (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70858_103769
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00