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

Digital Health Reviews (1725) Dementia and Cognitive Decline (696) Imaging Informatics (302) Medical imaging (110) Neurology and Neurosciences (286) Machine Learning (2077)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62647, first published .
Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis

Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis

Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis

Authors of this article:

Vivens Mubonanyikuzo1 Author Orcid Image ;   Hongjie Yan2 Author Orcid Image ;   Temitope Emmanuel Komolafe3 Author Orcid Image ;   Liang Zhou4 Author Orcid Image ;   Tao Wu1 Author Orcid Image ;   Nizhuan Wang5 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Parker T, Brush B. An Overview of Artificial Intelligence in Neurology. Seminars in Neurology 2025 View
  2. Murat Duranay F, Murat E, Katar O, Demir Y, Tan R, Yildirim Ö, Acharya U. Arrhythmia detection in multi-channel ECG images: vision transformer and explainable approaches. Knowledge-Based Systems 2025;331:114889 View

Conference Proceedings

  1. Aruna S, R P, Alrwbaye T, Buvaneswari P, Parthiban K. 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). Early Detection of Alzheimer's Disease using Vision Transformer based Convolutional Neural Network View
  2. Yoosaf S, Sudheep Elayidom M, Denny A. 2025 11th International Conference on Smart Computing and Communications (ICSCC). An Ensembled Deep Learning Model to Improve Diagnosis of Dementia Stages from Brain MRI Images View
  3. George D, I G. 2025 International Conference on Recent Innovation in Science Engineering and Technology (ICRISET). AI-Driven Integration of Multimodal Neuro Imaging for Vision Defect Detection and Classification View