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本文引用的文献

1
Predicting dementia from spontaneous speech using large language models.使用大语言模型从自发语言中预测痴呆症。
PLOS Digit Health. 2022 Dec 22;1(12):e0000168. doi: 10.1371/journal.pdig.0000168. eCollection 2022 Dec.
2
Artificial Intelligence-Enabled End-To-End Detection and Assessment of Alzheimer's Disease Using Voice.利用语音实现的人工智能端到端阿尔茨海默病检测与评估
Brain Sci. 2022 Dec 23;13(1):28. doi: 10.3390/brainsci13010028.
3
Language Impairment in Alzheimer's Disease-Robust and Explainable Evidence for AD-Related Deterioration of Spontaneous Speech Through Multilingual Machine Learning.阿尔茨海默病中的语言障碍——通过多语言机器学习获得的关于与阿尔茨海默病相关的自发语言退化的有力且可解释的证据
Front Aging Neurosci. 2021 May 19;13:642033. doi: 10.3389/fnagi.2021.642033. eCollection 2021.

Advances in artificial intelligence for diagnosing Alzheimer's disease through speech.

作者信息

Abid Mishal, Asif Maham, Khemane Zoya, Jawaid Afia, Waqar Khan Aimen, Naveed Hufsa, Naveed Tooba, Farah Asma Ahmed, Siddiq Mohammad Arham

机构信息

Department of Medicine, Dow University of Health Sciences.

Departments ofMedicine.

出版信息

Ann Med Surg (Lond). 2024 May 20;86(7):3822-3823. doi: 10.1097/MS9.0000000000002200. eCollection 2024 Jul.

DOI:10.1097/MS9.0000000000002200
PMID:38989201
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11230774/
Abstract
摘要