This paper is in the following e-collection/theme issue:

NIH mHealth - funded projects (82) Clinical Information and Decision Making (2054) Dementia and Cognitive Decline (736) Relationship and Communication between Patients and Nurses (25) Tools, Programs and Algorithms (406) Ontologies, Classifications, and Coding (347) Electronic Health Records (1371) Voice Phenotyping and Vocal Biomarkers (22) Home Care (222)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82731, first published .
Developing a Multimodal Screening Algorithm for Mild Cognitive Impairment and Early Dementia in Home Health Care: Protocol for a Cross-Sectional Case-Control Study Using Speech Analysis, Large Language Models, and Electronic Health Records

Developing a Multimodal Screening Algorithm for Mild Cognitive Impairment and Early Dementia in Home Health Care: Protocol for a Cross-Sectional Case-Control Study Using Speech Analysis, Large Language Models, and Electronic Health Records

Developing a Multimodal Screening Algorithm for Mild Cognitive Impairment and Early Dementia in Home Health Care: Protocol for a Cross-Sectional Case-Control Study Using Speech Analysis, Large Language Models, and Electronic Health Records

Authors of this article:

Maryam Zolnoori1 Author Orcid Image
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Journals

  1. Chen L, He R, Lu P, Jin Y, Zhou L, Li N, Wu P, Hu B. Operationalizing Large Language Models for Clinical Research Data Extraction: Methods, Quality Control, and Governance. Journal of Medical Systems 2026;50(1) View