Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging

Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging

Abstract Early diagnosis of Neurological Disorders (ND) such as Alzheimer’s disease (AD) and Brain Tumors (BT) can be highly challenging since these diseases cause minor changes in the brain’s anatomy. Magnetic Resonance Imaging (MRI) is a vital tool for diagnosing and visualizing these ND; however,...

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Bibliographic Details
Main Authors: Vijaya Bhaskar Sadu, Sathvik Bagam, Mohd Naved, Siva Krishna Reddy Andluru, Kamalakar Ramineni, Meshal Ghalib Alharbi, Sudhakar Sengan, Rahmaan Khadhar Moideen
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Neurological disorders
Deep learning
Spatial–temporal graph convolutional networks
Vision transformer
Magnetic resonance imaging
AUC-ROC
Online Access:https://doi.org/10.1038/s41598-025-05888-z
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https://doi.org/10.1038/s41598-025-05888-z

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