Neuropsychological and electrophysiological measurements for diagnosis and prediction of dementia: a review on machine learning approach

C Carrarini, C Nardulli, L Titti, F Iodice, F Miraglia… - Ageing Research …, 2024 - Elsevier
Introduction Emerging and advanced technologies in the field of Artificial Intelligence (AI)
represent promising methods to predict and diagnose neurodegenerative diseases, such as …

[HTML][HTML] AI-assisted Screening and Prevention Programs for Diseases

M Farrokhi, A Moeini, F Taheri, M Farrokhi… - Kindle, 2023 - preferpub.org
AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

Neural computation-based methods for the early diagnosis and prognosis of Alzheimer's disease not using neuroimaging biomarkers: A systematic review

Y Cabrera-León, PG Báez… - Journal of …, 2024 - content.iospress.com
Background: The growing number of older adults in recent decades has led to more
prevalent geriatric diseases, such as strokes and dementia. Therefore, Alzheimer's disease …

[HTML][HTML] Integrating Convolutional Neural Networks with Attention Mechanisms for Magnetic Resonance Imaging-Based Classification of Brain Tumors

Z Rasheed, YK Ma, I Ullah, M Al-Khasawneh… - Bioengineering, 2024 - mdpi.com
The application of magnetic resonance imaging (MRI) in the classification of brain tumors is
constrained by the complex and time-consuming characteristics of traditional diagnostics …

A deep learning model for Alzheimer's disease diagnosis based on patient clinical records

JL Ávila-Jiménez, V Cantón-Habas… - Computers in Biology …, 2024 - Elsevier
Abstract Background: Dementia, with Alzheimer's disease (AD) being the most common type
of this neurodegenerative disease, is an under-diagnosed health problem in older people …

Enhancing health and public health through machine learning: decision support for smarter choices

PM Rodrigues, JP Madeiro, JAL Marques - Bioengineering, 2023 - mdpi.com
In recent years, the integration of Machine Learning (ML) techniques in the field of
healthcare and public health has emerged as a powerful tool for improving decision-making …

[HTML][HTML] The role of magnetic resonance imaging in the diagnosis and prognosis of dementia

M Živanović, AA Trenkić, V Milošević… - Biomolecules and …, 2023 - ncbi.nlm.nih.gov
Dementia is a syndrome characterized by multidomain acquired chronic cognitive
impairment that has a profound impact on daily life. Neurogenerative diseases such as …

Artificial intelligence for personalized genetics and new drug development: benefits and cautions

C Gallo - Bioengineering, 2023 - mdpi.com
As the global health care system grapples with steadily rising costs, increasing numbers of
admissions, and the chronic defection of doctors and nurses from the profession …

[HTML][HTML] Artificial intelligence diagnosing of oral lichen planus: a comparative study

S Yu, W Sun, D Mi, S Jin, X Wu, B Xin, H Zhang… - Bioengineering, 2024 - mdpi.com
Early diagnosis of oral lichen planus (OLP) is challenging, which traditionally is dependent
on clinical experience and subjective interpretation. Artificial intelligence (AI) technology has …

Predicting early Alzheimer's with blood biomarkers and clinical features

ME AlMansoori, S Jemimah, F Abuhantash… - Scientific Reports, 2024 - nature.com
Alzheimer's disease (AD) is an incurable neurodegenerative disorder that leads to
dementia. This study employs explainable machine learning models to detect dementia …