[HTML][HTML] Multi-modality approaches for medical support systems: A systematic review of the last decade
Healthcare traditionally relies on single-modality approaches, which limit the information
available for medical decisions. However, advancements in technology and the availability …
available for medical decisions. However, advancements in technology and the availability …
[HTML][HTML] The use of neuroimaging techniques in the early and differential diagnosis of dementia
L Chouliaras, JT O'Brien - Molecular Psychiatry, 2023 - nature.com
Dementia is a leading cause of disability and death worldwide. At present there is no
disease modifying treatment for any of the most common types of dementia such as …
disease modifying treatment for any of the most common types of dementia such as …
Provable dynamic fusion for low-quality multimodal data
The inherent challenge of multimodal fusion is to precisely capture the cross-modal
correlation and flexibly conduct cross-modal interaction. To fully release the value of each …
correlation and flexibly conduct cross-modal interaction. To fully release the value of each …
[HTML][HTML] Machine learning in clinical trials: A primer with applications to neurology
MI Miller, LC Shih, VB Kolachalama - Neurotherapeutics, 2023 - Elsevier
We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML)
and discussed ways in which these methodologies may be employed to enhance progress …
and discussed ways in which these methodologies may be employed to enhance progress …
Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia
Dementia poses a growing challenge for health services but remains stigmatized and under‐
recognized. Digital technologies to aid the earlier detection of dementia are approaching …
recognized. Digital technologies to aid the earlier detection of dementia are approaching …
Multimodal neuroimaging based Alzheimer's disease diagnosis using evolutionary RVFL classifier
Alzheimer's disease (AD) is one of the most known causes of dementia which can be
characterized by continuous deterioration in the cognitive skills of elderly people. It is a non …
characterized by continuous deterioration in the cognitive skills of elderly people. It is a non …
Artificial intelligence accelerates multi-modal biomedical process: A Survey
The abundance of artificial intelligence AI algorithms and growing computing power has
brought a disruptive revolution to the smart medical industry. Its powerful data abstraction …
brought a disruptive revolution to the smart medical industry. Its powerful data abstraction …
Multi-feature computational framework for combined signatures of dementia in underrepresented settings
Objective. The differential diagnosis of behavioral variant frontotemporal dementia (bvFTD)
and Alzheimer's disease (AD) remains challenging in underrepresented, underdiagnosed …
and Alzheimer's disease (AD) remains challenging in underrepresented, underdiagnosed …
[HTML][HTML] Applications of artificial intelligence in the neuropsychological assessment of dementia: A systematic review
I Veneziani, A Marra, C Formica, A Grimaldi… - Journal of Personalized …, 2024 - mdpi.com
In the context of advancing healthcare, the diagnosis and treatment of cognitive disorders,
particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant …
particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant …
[HTML][HTML] Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights
Identification of Alzheimer's disease (AD) onset risk can facilitate interventions before
irreversible disease progression. We demonstrate that electronic health records from the …
irreversible disease progression. We demonstrate that electronic health records from the …