AI‐driven Amyloid Pathology Detection Using Multi‐modal MRI: A Proof of Concept Study
This proof of concept work provides a preliminary method to make amyloid detection safer, more affordable, and more accessible for patients and the healthcare industry. The technology leverages routinely acquired MRI scans to extract additional clinical insights, offering a non-invasive tool for identifying candidates eligible for early disease-modifying therapies. While further improvements to the model accuracy are ongoing, this approach has the potential to improve early detection and patient prognosis.
Authors
- Manmohi Dake
- Ashwin Venkataraman (ORCID: https://orcid.org/0000-0001-7977-1948)
- Dag Aarsland
- Himank Kavathekar
Institutions
- Government of Maharashtra (IN)
- Wellcome Centre for Human Neuroimaging (GB)
- King's College London (GB)
- South London and Maudsley NHS Foundation Trust (GB)
- Stavanger University Hospital (NO)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_099593
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00