Evaluating spoken language as a biomarker for automated screening of cognitive impairment
Our predictive modelling shows promise for integration with conversational technology at home to monitor cognitive health and triage higher-risk individuals, enabling early screening and intervention.
Authors
- Fatemeh Geranmayeh (ORCID: https://orcid.org/0000-0003-1112-786X)
- Maja J. Matarić (ORCID: https://orcid.org/0000-0001-8958-6666)
- Ramin Nilforooshan (ORCID: https://orcid.org/0000-0001-9801-183X)
- Alexander Capstick (ORCID: https://orcid.org/0000-0002-3884-8045)
- Ravi Vaidyanathan (ORCID: https://orcid.org/0000-0002-9625-4544)
- Payam Barnaghi (ORCID: https://orcid.org/0000-0001-8591-9638)
- Maria R. Lima (ORCID: https://orcid.org/0000-0002-6032-3042)
Institutions
- University of Southern California (US)
- Imperial College Healthcare NHS Trust (GB)
- University of Surrey (GB)
- UK Dementia Research Institute (GB)
- Imperial College London (GB)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1038/s43856-025-01263-1
- Citations
- 2
- Primary Topic
- Neurobiology of Language and Bilingualism
- Type
- article
- Field-Weighted Citation Impact
- 2.86
Funders
- UK Research and Innovation
- Alzheimer's Society
- National Institute for Health and Care Research
- Royal Academy of Engineering
- Imperial College London
- UK Dementia Research Institute
- Medical Research Council
- Engineering and Physical Sciences Research Council
- NIHR Imperial Biomedical Research Centre
- Research England