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

NIH mHealth - funded projects (91) Clinical Information and Decision Making (3806) Tools, Programs and Algorithms (595) Home Care (241) Electronic Health Records (1753) Ontologies, Classifications, and Coding (456) Dementia and Cognitive Decline (895) Relationship and Communication between Patients and Nurses (34) Voice Phenotyping and Vocal Biomarkers (36)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82731, first published .
Nurse discusses brain health with elderly patient, showing digital health data.

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
Article Authors Cited by (2) Tweetations Metrics

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
  2. Wu H, Yang Y, Wang L, Su H, Li X. The Digital Transformation of Rehabilitation Medicine: A Narrative Review of Artificial Intelligence Innovations, Clinical Integration, and Future Paradigms. Journal of Evaluation in Clinical Practice 2026;32(6) View