AI-Powered Alzheimer’s Prediction System using Deep Learning for Early Diagnosis

Alzheimer's disease represents a major global health problem characterized by a progressive neurodegenerative disorder that disrupts memory and cognition It helps in diagnosis of the disease at an early stage and resulting in better treatment. MRI has quickly become a valuable diagnostic modality, providing an insightful look at the anatomy of the brain. The work takes advantage of deep learning, particularly neural networks, for analysing MRI data to improve the diagnosis of Alzheimer’s. These new methodologies will hopefully give clinicians and caregivers accurate information about when to identify incidence of Alzheimer’s at an early stage. We are also creating a simple web-based application which people can use to upload new images easily, allowing the rapid automated analysis of their MRIs to facilitate early diagnosis more broadly.This approach promises to contribute to more timely interventions and better patient outcomes.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/aece62803.2024.10911099
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.71
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article

AI-Powered Alzheimer’s Prediction System using Deep Learning for Early Diagnosis

Shanthi Makka, Vishwambhar Reddy, Mohit Kumar, R. Gnaneshwar
1 citations
Artificial Intelligence in Healthcare
0.71
article

AI-Powered Alzheimer’s Prediction System using Deep Learning for Early Diagnosis

Shanthi Makka, Vishwambhar Reddy, Mohit Kumar, R. Gnaneshwar
article en
1 citations

Abstract

Alzheimer's disease represents a major global health problem characterized by a progressive neurodegenerative disorder that disrupts memory and cognition It helps in diagnosis of the disease at an early stage and resulting in better treatment. MRI has quickly become a valuable diagnostic modality, providing an insightful look at the anatomy of the brain. The work takes advantage of deep learning, particularly neural networks, for analysing MRI data to improve the diagnosis of Alzheimer’s. These new methodologies will hopefully give clinicians and caregivers accurate information about when to identify incidence of Alzheimer’s at an early stage. We are also creating a simple web-based application which people can use to upload new images easily, allowing the rapid automated analysis of their MRIs to facilitate early diagnosis more broadly.This approach promises to contribute to more timely interventions and better patient outcomes.

Openalex Percentile: Top 17%
Artificial Intelligence in Healthcare
0.71
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