Design of an artificial intelligence model to screen spontaneous speech to detect Alzheimer's Disease.

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Bibliographic Details
Title: Design of an artificial intelligence model to screen spontaneous speech to detect Alzheimer's Disease.
Authors: Madden KM; Gerontology and Diabetes Research Laboratory, Division of Geriatric Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.; Centre for Aging SMART, University of British Columbia, Vancouver, British Columbia, Canada.; Edwin S. H. Leong Centre for Healthy Aging, University of British Columbia, Vancouver, British Columbia, Canada., Feldman B; Gerontology and Diabetes Research Laboratory, Division of Geriatric Medicine, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada., Jimenez D; UBC Data Science Program, University of British Columbia, Vancouver, British Columbia, Canada., Khokhar M; UBC Data Science Program, University of British Columbia, Vancouver, British Columbia, Canada., Li Q; UBC Data Science Program, University of British Columbia, Vancouver, British Columbia, Canada., Nguyen M; UBC Data Science Program, University of British Columbia, Vancouver, British Columbia, Canada., Zhu J; UBC Data Science Program, University of British Columbia, Vancouver, British Columbia, Canada.
Source: PLOS digital health [PLOS Digit Health] 2026 Jun 25; Vol. 5 (6), pp. e0001444. Date of Electronic Publication: 2026 Jun 25 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2767-3170
DOI:10.1371/journal.pdig.0001444