Year: 2025
Type: article
Abstract: Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cognitive functions, often leading to memory loss and behavioral changes. Early detection is crucial for effective intervention and management. AlzAware, a comprehensive online platform, offers an innovative approach for the detection of Alzheimer's disease using cutting-edge diagnostic technologies such as Functional Magnetic Resonance Imaging (fMRI), Electroencephalogram (EEG), and advanced neurological diagnostics. Through the integration of pattern recognition algorithms and data-driven analysis, AlzAware provides an accurate and accessible tool for detecting AD at its earliest stages. The platform utilizes fMRI to visualize brain activity, EEG to analyze electrical patterns in neural activity, and sophisticated machine learning techniques to identify early signs of neurodegenerative conditions. By offering a non-invasive, user-friendly solution, AlzAware aims to improve the accuracy of Alzheimer’s diagnosis and provide valuable support for both clinicians and individuals at risk of developing Alzheimer’s disease. This paper discusses the underlying technologies behind AlzAware, its potential for enhancing diagnostic precision, and its role in advancing the fight against Alzheimer's disease. Keywords - fMRI (Functional Magnetic Resonance), Imaging, EEG (Electroencephalogram), Neurological Diagnostics, Neurodegenerative Conditions, Pattern Recognition.
DOI: 10.55041/ijsrem43940
Authors: Basavaraj Aland, Korlapati Himaja
Institution: GITAM University
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4409196344