Explainable artificial intelligence in Alzheimer's disease classification: A systematic review

V Viswan, N Shaffi, M Mahmud, K Subramanian… - Cognitive …, 2024 - Springer
The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection

V Vimbi, N Shaffi, M Mahmud - Brain Informatics, 2024 - Springer
Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability
to explain the complex decision-making process of machine learning (ML) and deep …

Unlocking the potential of XAI for improved alzheimer's disease detection and classification using a ViT-GRU model

SM Mahim, MS Ali, MO Hasan, AAN Nafi, A Sadat… - IEEE …, 2024 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is a significant cause of dementia worldwide, and its progression
from mild to severe affects an individual's ability to perform daily activities independently …

An explainable AI paradigm for Alzheimer's diagnosis using deep transfer learning

T Mahmud, K Barua, SU Habiba, N Sharmen… - Diagnostics, 2024 - mdpi.com
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of
individuals worldwide, causing severe cognitive decline and memory impairment. The early …

Deep learning for Alzheimer's disease diagnosis: A survey

M Khojaste-Sarakhsi, SS Haghighi… - Artificial intelligence in …, 2022 - Elsevier
Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer's disease

S El-Sappagh, JM Alonso, SMR Islam, AM Sultan… - Scientific reports, 2021 - nature.com
Alzheimer's disease (AD) is the most common type of dementia. Its diagnosis and
progression detection have been intensively studied. Nevertheless, research studies often …

In-depth insights into Alzheimer's disease by using explainable machine learning approach

B Bogdanovic, T Eftimov, M Simjanoska - Scientific Reports, 2022 - nature.com
Alzheimer's disease is still a field of research with lots of open questions. The complexity of
the disease prevents the early diagnosis before visible symptoms regarding the individual's …

Use of artificial intelligence in Alzheimer's disease detection

A Subasi - Artificial intelligence in precision health, 2020 - Elsevier
Alzheimer's disease (AD) is one of the most prevalent dementia types affecting the elderly
population. On-time detection of the AD is valuable to find new approaches for the AD …

Artificial intelligence for Alzheimer's disease: promise or challenge?

C Fabrizio, A Termine, C Caltagirone, G Sancesario - Diagnostics, 2021 - mdpi.com
Decades of experimental and clinical research have contributed to unraveling many
mechanisms in the pathogenesis of Alzheimer's disease (AD), but the puzzle is still …

Ethical implications of Alzheimer's disease prediction in asymptomatic individuals through artificial intelligence

F Ursin, C Timmermann, F Steger - Diagnostics, 2021 - mdpi.com
Biomarker-based predictive tests for subjectively asymptomatic Alzheimer's disease (AD)
are utilized in research today. Novel applications of artificial intelligence (AI) promise to …