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LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data.

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第一作者： Ali,Zolnour

第一单位： Columbia University Irving Medical Center, New York, NY, United States.

作者： Ali,Zolnour ^[1] ; Hossein,Azadmaleki ^[1] ; Yasaman,Haghbin ^[1] ; Fatemeh,Taherinezhad ^[1] ; Mohamad Javad Momeni,Nezhad ^[1] ; Sina,Rashidi ^[1] ; Masoud,Khani ^[2] ; AmirSajjad,Taleban ^[2] ; Samin Mahdizadeh,Sani ^[3] ; Maryam,Dadkhah ^[1] ; James M,Noble ^[4] ; Suzanne,Bakken ^[5] ; Yadollah,Yaghoobzadeh ^[3] ; Abdol-Hossein,Vahabie ^[3] ; Masoud,Rouhizadeh ^[6] ; Maryam,Zolnoori ^[7]

作者单位： Columbia University Irving Medical Center, New York, NY, United States. ^[1] University of Wisconsin-Milwaukee, Milwaukee, WI, United States. ^[2] School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran. ^[3] Columbia University Irving Medical Center, New York, NY, United States.;Department of Neurology, Taub Institute for Research on Alzheimer's Disease and The Aging Brain, GH Sergievsky Center, Columbia University, New York, NY, United States. ^[4] School of Nursing, Columbia University, New York, NY, United States.;Department of Biomedical Informatics, Columbia University, New York, NY, United States.;Data Science Institute, Columbia University, New York, NY, United States. ^[5] College of Pharmacy, University of Florida, Gainesville, FL, United States. ^[6] Columbia University Irving Medical Center, New York, NY, United States.;School of Nursing, Columbia University, New York, NY, United States.;Data Science Institute, Columbia University, New York, NY, United States. ^[7]

关键词 Alzheimer’s disease data augmentation large language models mild cognitive impairment (MCI)natural language processing transformers

DOI 10.3389/frai.2025.1669896

PMID 41280882

发布时间 2026-05-07

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