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

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

Mishal Abid  1 , Maham Asif  2 , Zoya Khemane  1 , Afia Jawaid  1 , Aimen Waqar Khan  3 , Hufsa Naveed  4 , Tooba Naveed  4 , Asma Ahmed Farah  5 , Mohammad Arham Siddiq  2
Affiliations
Editorial

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

Mishal Abid et al. Ann Med Surg (Lond). .
No abstract available

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Conflict of interest statement

The authors declare no potential conflicts of interest concerning the research, authorship, and/or publication of this article.Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article.

References

    1. Alzheimer’s Disease Fact Sheet | National Institute on Aging. 2023. Accessed April 5, 2023. https://www.nia.nih.gov/health/alzheimers-and-dementia/alzheimers-diseas....
    1. Borod JC, Goodglass H, Kaplan E. Normative data on the boston diagnostic aphasia examination, parietal lobe battery, and the boston naming Test. J Clin Neuropsychol 1980;2:209–215.
    1. Agbavor F, Liang H. Predicting dementia from spontaneous speech using large language models. PLOS Digital Health 2022;1:e0000168. - PMC - PubMed
    1. Agbavor F, Liang H. Artificial intelligence-enabled end-to-end detection and assessment of Alzheimer’s disease using voice. Brain Sci 2023;13:28. - PMC - PubMed
    1. Pye C, MacWhinney B. The CHILDES Project: Tools for Analyzing Talk. Language 1994;70:156.

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