AI‐Driven Pipeline for Analysis and Classification of Neurodegenerative Diseases from Cognitive, Imaging, and Clinical Biomarkers from the CogNID Study
This study advances AI applications to support early diagnosis of ND by addressing medical data imbalance, robust model development, and ensuring model interpretability and scalability. This framework can support a relevant and precise diagnosis of dementia, important for further research on patients' diagnoses.
Authors
- Akram A. Hosseini (ORCID: https://orcid.org/0000-0003-0133-9842)
- Armaghan Moemeni (ORCID: https://orcid.org/0000-0003-1418-9601)
- Aditya Purswani
Institutions
- Nottingham University Hospitals NHS Trust (GB)
- University of Nottingham (GB)
- Queen's Medical Centre (GB)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70855_106908
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00