Introduction to Alzheimer's Disease, Biomarkers, and the AI Revolution
B Yingngam - AI-Driven Alzheimer's Disease Detection and …, 2024 - igi-global.com
Alzheimer's disease (AD) is a progressive neurodegenerative disease that results in a
steady decline in cognitive ability and memory function. As society ages, the need for an …
steady decline in cognitive ability and memory function. As society ages, the need for an …
Deep neural networks for the early diagnosis of dementia and Alzheimer's disease from MRI images
Q Wang - Evolving Systems, 2024 - Springer
Early diagnosis methods of Alzheimer's disease seem to be necessary due to the high costs
of care and treatment, the indeterminacy of existing treatment methods, and the worrying …
of care and treatment, the indeterminacy of existing treatment methods, and the worrying …
A novel approach to dementia prediction of DTI markers using BALI, LIBRA, and machine learning techniques
A Akbarifar, A Maghsoudpour, F Mohammadian… - The European Physical …, 2024 - Springer
Early prediction of dementia and disease progression remains challenging. This study
presents a novel machine learning framework for dementia diagnosis by integrating …
presents a novel machine learning framework for dementia diagnosis by integrating …
[HTML][HTML] Multimodal dementia identification using lifestyle and brain lesions, a machine learning approach
A Akbarifar, A Maghsoudpour, F Mohammadian… - AIP Advances, 2024 - pubs.aip.org
Dementia diagnosis often relies on expensive and invasive neuroimaging techniques that
limit access to early screening. This study proposes an innovative approach for facilitating …
limit access to early screening. This study proposes an innovative approach for facilitating …
Ethical and Privacy Considerations in AI-Driven AD Research
MA Matheen, Z Hasan, AK Lodhi… - AI-Driven Alzheimer's …, 2024 - igi-global.com
The advancement of artificial intelligence (AI) has brought on sizeable inclinations in
scientific research, especially in the subject of Alzheimer's disease (AD). As AI maintains to …
scientific research, especially in the subject of Alzheimer's disease (AD). As AI maintains to …
Integrating Genomic Data and Genetic Risk Factors With AI for Predicting Susceptibility to Alzheimer's Disease
Alzheimer's disease (AD) is a complicated neurodegenerative disease that has a vast effect
on people, families, and society. despite a long time of research, there is no effective …
on people, families, and society. despite a long time of research, there is no effective …
AI for Early Disease Detection: Developing models for early diagnosis of diseases like cancer or Alzheimer's using biomarkers and imaging data
The early detection of diseases such as cancer and Alzheimer's is pivotal to improving
patient outcomes, enhancing survival rates, and reducing healthcare costs. Traditional …
patient outcomes, enhancing survival rates, and reducing healthcare costs. Traditional …