Detection and Classification of Alzheimer’s Disease Using Deep and Machine Learning
Integrating clinical and imaging data and interpretable AI improves the accuracy and reliability of AD staging. The proposed model offers a valid and clear diagnostic route, which can assist clinicians in making timely diagnoses and adjusting individual treatment.
Authors
- Awadia Gareeballah (ORCID: https://orcid.org/0000-0001-7320-2795)
- Zuhal Y. Hamd (ORCID: https://orcid.org/0000-0003-2895-2284)
- Jawwad Sami Ur Rahman (ORCID: https://orcid.org/0000-0002-1945-3339)
- Sajid Iqbal (ORCID: https://orcid.org/0000-0001-5389-8078)
- Muhammad Khalid (ORCID: https://orcid.org/0000-0003-4430-7576)
- Babar Ali
- Nida Iqbal
- Lama Almudaimeegh
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- University of Lahore (PK)
- University of Engineering and Technology Lahore (PK)
- University of the Punjab (PK)
- Riphah International University (PK)
- Taibah University (SA)
Publication Details
- Journal
- Tomography
- Published
- 2025-12-26
- DOI
- https://doi.org/10.3390/tomography12010004
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00