Protocol for detection and monitoring of post-stroke cognitive impairment through AI-powered speech analysis: a mixed methods pilot study
This study represents a critical step toward developing speech-based digital biomarkers for PSCI detection that are sensitive, culturally appropriate, and clinically feasible. If validated, this approach could transform current models of PSCI care by enabling remote, frequent, and naturalistic monitoring of cognitive health, potentially improving outcomes through earlier intervention.
Authors
- Amartya Mukhopadhyay (ORCID: https://orcid.org/0000-0002-9747-5277)
- Anjali Bundele (ORCID: https://orcid.org/0000-0003-1450-5467)
- Effie Chew (ORCID: https://orcid.org/0000-0002-8128-7036)
- Ravi Shankar (ORCID: https://orcid.org/0009-0005-5578-3481)
Institutions
- National University of Singapore (SG)
- Alexandra Hospital (SG)
- National University Hospital (SG)
- National University Health System (SG)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-05-01
- DOI
- https://doi.org/10.3389/fnagi.2025.1581891
- Citations
- 1
- Primary Topic
- Neurobiology of Language and Bilingualism
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- Ministry of Health, British Columbia
- National Healthcare Group
- Medical Research Council
- National Medical Research Council