Digital speech assessments and machine learning for differentiation of neurodegenerative diseases
Our findings highlight the potential of digital health technology and ML in identifying and monitoring speech features in neurodegenerative diseases.
Authors
- Catherine Isroff (ORCID: https://orcid.org/0009-0003-2535-776X)
- Jamie Adams (ORCID: https://orcid.org/0000-0002-1170-6688)
- Alexander Pantelyat (ORCID: https://orcid.org/0000-0002-6427-7485)
- Kyurim Kang (ORCID: https://orcid.org/0000-0001-8061-4456)
- Adonay S. Nunes (ORCID: https://orcid.org/0000-0002-8755-2240)
- Anne‐Marie Wills (ORCID: https://orcid.org/0000-0002-0901-4711)
- Andrew Geronimo (ORCID: https://orcid.org/0000-0002-7754-3754)
- Ram Kinker Mishra (ORCID: https://orcid.org/0000-0001-9441-683X)
- Jing Wang (ORCID: https://orcid.org/0000-0002-9883-4972)
- İlkay Yıldız Potter (ORCID: https://orcid.org/0000-0002-2827-7672)
- Ashkan Vaziri
Institutions
- Harvard University (US)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- University of Rochester Medical Center (US)
- Massachusetts General Hospital (US)
- BioSensics (United States) (US)
- Penn State Milton S. Hershey Medical Center (US)
Publication Details
- Journal
- Clinical Parkinsonism & Related Disorders
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.prdoa.2025.100389
- Citations
- 1
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.39