AI-Powered Early Diagnosis of Neurological Disorders: A Deep Learning Approach
Abstract
Neurological disorders such as Alzheimer’s, Parkinson’s, and multiple sclerosis present significant diagnostic challenges due to their complex progression. This paper explores the application of deep learning models for early detection using medical imaging and patient data. We propose a convolutional neural network (CNN)-based approach that analyzes MRI and CT scans to identify early biomarkers. Our study demonstrates improved accuracy in early-stage diagnosis, potentially enabling timely intervention and better patient outcomes.
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