Assessing the role of Large Language Models in Mild Cognitive Impairment Management: A Bilingual Analysis Comparing ChatGPT, Gemini, and Kimi
This study demonstrates LLMs' proficiency in symptom-related inquiries and stronger alignment with healthcare professionals' operational needs versus care partners' accuracy priorities. English responses outperformed Chinese due to corpus disparities, highlighting needs for language-specific optimization. Findings underscore LLMs' clinical potential, urging enriched Chinese medical corpora and specialized model development to address care partners' unmet requirements.
Authors
- Qianhui Pan
- Yao Xiao (ORCID: https://orcid.org/0000-0002-6789-7620)
- Nan Jiang
Institutions
- Tsinghua University (CN)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70858_105517
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00