Identifying High‐Risk Patients Through Longitudinal Hippocampal Atrophy Patterns in MCI and AD
This pilot analysis supports the use of rapid segmentation techniques for early risk detection in MCI and AD. The marked difference in atrophy rates between groups underscores the need for large-scale validation using deep learning and statistical analysis. An automated tool for hippocampal volume tracking could be instrumental in both research and future clinical practice.
Authors
- Abraham Varghese (ORCID: https://orcid.org/0000-0001-8897-1300)
- Kannan Balakrishnan
- Kesavadas Chandrasekharan
Institutions
- Cochin University of Science and Technology (IN)
- Sree Chitra Thirunal Institute for Medical Sciences and Technology (IN)
- Muscat College (OM)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70861_108226
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00