Applications of Amyloid Plaques and AI For Detection of Alzheimer's Disease

Artificial Intelligence (AI) has revolutionized many fields of work, particularly the field of medicine. Notably, AI-powered algorithms can identify patterns in retinal scans that are too delicate for the human eye to render (Fabrizio, Termine, Caltagirone, et al., 2021). This new technology has led to groundbreaking methods in diagnosing diseases, especially Alzheimer's disease (AD). AD is a progressive disease that starts with moderate memory loss that eventually progresses into a general inability for a patient to converse and respond to their surroundings.AD remains the most common form of dementia globally and is recognized by the World Health Organization as a “global public health priority” (Lane et al., 2017).

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Publication Details

Journal
Journal of Student Research
Published
2024-08-31
DOI
https://doi.org/10.47611/jsrhs.v13i3.7013
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Applications of Amyloid Plaques and AI For Detection of Alzheimer's Disease

Alwin Prasanna
Journal of Student Research
Brain Tumor Detection and Classification
article

Applications of Amyloid Plaques and AI For Detection of Alzheimer's Disease

Alwin Prasanna
article en

Abstract

Artificial Intelligence (AI) has revolutionized many fields of work, particularly the field of medicine. Notably, AI-powered algorithms can identify patterns in retinal scans that are too delicate for the human eye to render (Fabrizio, Termine, Caltagirone, et al., 2021). This new technology has led to groundbreaking methods in diagnosing diseases, especially Alzheimer's disease (AD). AD is a progressive disease that starts with moderate memory loss that eventually progresses into a general inability for a patient to converse and respond to their surroundings.AD remains the most common form of dementia globally and is recognized by the World Health Organization as a “global public health priority” (Lane et al., 2017).

Journal of Student ResearchVol. 13(3)
Chattahoochee Technical College (US)
Openalex Percentile: Top 66%
Brain Tumor Detection and Classification
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