This paper is in the following e-collection/theme issue:

AI in Older Adult Care (40) Artificial Intelligence (2129) Machine Learning (2076) Decision Support for Health Professionals (1539) Imaging Informatics (302) Medical imaging (110) Dementia and Cognitive Decline (696)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59370, first published .
Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis

Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis

Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis

Authors of this article:

Gopi Battineni1, 2 Author Orcid Image ;   Nalini Chintalapudi1 Author Orcid Image ;   Francesco Amenta1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics Author Video

Journals

  1. Christodoulou R, Christofi G, Pitsillos R, Ibrahim R, Papageorgiou P, Papageorgiou S, Vassiliou E, Georgiou M. AI-Based Classification of Mild Cognitive Impairment and Cognitively Normal Patients. Journal of Clinical Medicine 2025;14(15):5261 View
  2. Aksoy S, Daou A. An Explainable Web-Based Diagnostic System for Alzheimer’s Disease Using XRAI and Deep Learning on Brain MRI. Diagnostics 2025;15(20):2559 View
  3. Chen R, Cai G, Huang J, Wang Y, Zhang M, Zhang L, Wang J, Zhan H. Differential Patterns of Structural and Functional Disruptions of PCN and DMN‐Related Regions: Longitudinal Evidence Reveals Cascading Network Dysregulation Across the AD Continuum. Med Research 2025 View
  4. Hernández Zárate A. Inteligencia artificial y su uso en neurología: una revisión actualizada. Acta Médica Grupo Ángeles 2025;23(6):534 View
  5. Cao K, Lu Z, Zhao C, Du J, Li L, Jung H, Geng M. Lightweight 3D CNN for MRI Analysis in Alzheimer’s Disease: Balancing Accuracy and Efficiency. Journal of Imaging 2025;11(12):426 View

Conference Proceedings

  1. Jabasheela L, Jenifer A, Kshirsagar P, Tak T, Sonekar S. 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE). Advancing Alzheimer’s Diagnosis Through Machine Learning: A Refined Methodology For Early Detection And Classification View