Revolutionizing dementia detection: Leveraging vision and Swin transformers for early diagnosis

Dementia, an increasingly prevalent neurological disorder with a projected threefold rise globally by 2050, necessitates early detection for effective management. The risk notably increases after age 65. Dementia leads to a progressive decline in cognitive functions, affecting memory, reasoning, and...

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Bibliographic Details
Published in:American journal of medical genetics. Part B, Neuropsychiatric genetics Neuropsychiatric genetics, 2024-10, Vol.195 (7), p.e32979-n/a
Main Authors: P L, Rini, K S, Gayathri
Format: Article
Language:English
Subjects:
Algorithms
Brain - diagnostic imaging
Brain - pathology
Brain - physiopathology
CNN
Cognitive ability
Deep Learning
Dementia
Dementia - diagnosis
Dementia disorders
Diagnosis
Early Diagnosis
Humans
Image processing
Neural networks
Neural Networks, Computer
Neuroimaging
PET scans
Positron emission tomography
Positron-Emission Tomography - methods
Swin transformer
vision transformer
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Summary:Dementia, an increasingly prevalent neurological disorder with a projected threefold rise globally by 2050, necessitates early detection for effective management. The risk notably increases after age 65. Dementia leads to a progressive decline in cognitive functions, affecting memory, reasoning, and problem‐solving abilities. This decline can impact the individual's ability to perform daily tasks and make decisions, underscoring the crucial importance of timely identification. With the advent of technologies like computer vision and deep learning, the prospect of early detection becomes even more promising. Employing sophisticated algorithms on imaging data, such as positron emission tomography scans, facilitates the recognition of subtle structural brain changes, enabling diagnosis at an earlier stage for potentially more effective interventions. In an experimental study, the Swin transformer algorithm demonstrated superior overall accuracy compared to the vision transformer and convolutional neural network, emphasizing its efficiency. Detecting dementia early is essential for proactive management, personalized care, and implementing preventive measures, ultimately enhancing outcomes for individuals and lessening the overall burden on healthcare systems.
ISSN:1552-4841
1552-485X
1552-485X
DOI:10.1002/ajmg.b.32979