Harnessing the power of machine learning in dementia informatics research: Issues, opportunities, and challenges
Dementia is a chronic and degenerative condition affecting millions globally. The care of
patients with dementia presents an ever-continuing challenge to healthcare systems in the …
patients with dementia presents an ever-continuing challenge to healthcare systems in the …
Harnessing the potential of machine learning and artificial intelligence for dementia research
Progress in dementia research has been limited, with substantial gaps in our knowledge of
targets for prevention, mechanisms for disease progression, and disease-modifying …
targets for prevention, mechanisms for disease progression, and disease-modifying …
Neuroimaging and machine learning for dementia diagnosis: recent advancements and future prospects
Dementia, a chronic and progressive cognitive declination of brain function caused by
disease or impairment, is becoming more prevalent due to the aging population. A major …
disease or impairment, is becoming more prevalent due to the aging population. A major …
[HTML][HTML] Ten years of image analysis and machine learning competitions in dementia
Abstract Machine learning methods exploiting multi-parametric biomarkers, especially
based on neuroimaging, have huge potential to improve early diagnosis of dementia and to …
based on neuroimaging, have huge potential to improve early diagnosis of dementia and to …
Applications of artificial intelligence in dementia research
More than 50 million older people worldwide are suffering from dementia, and this number is
estimated to increase to 150 million by 2050. Greater caregiver burdens and financial …
estimated to increase to 150 million by 2050. Greater caregiver burdens and financial …
An efficient way of identifying alzheimer's disease using deep learning techniques
Alzheimer's disease has recently emerged as a big worry. This condition affects around 45
million people. Alzheimer's disease is a deteriorating brain illness through an unknown …
million people. Alzheimer's disease is a deteriorating brain illness through an unknown …
Multimodal deep learning for Alzheimer's disease dementia assessment
Worldwide, there are nearly 10 million new cases of dementia annually, of which
Alzheimer's disease (AD) is the most common. New measures are needed to improve the …
Alzheimer's disease (AD) is the most common. New measures are needed to improve the …
Artificial intelligence for dementia research methods optimization
M Bucholc, C James, AA Khleifat… - Alzheimer's & …, 2023 - Wiley Online Library
Artificial intelligence (AI) and machine learning (ML) approaches are increasingly being
used in dementia research. However, several methodological challenges exist that may limit …
used in dementia research. However, several methodological challenges exist that may limit …
Exploring deep transfer learning techniques for Alzheimer's dementia detection
Examination of speech datasets for detecting dementia, collected via various speech tasks,
has revealed links between speech and cognitive abilities. However, the speech dataset …
has revealed links between speech and cognitive abilities. However, the speech dataset …
Develop a diagnostic tool for dementia using machine learning and non-imaging features
H Wang, L Sheng, S Xu, Y Jin, X Jin, S Qiao… - Frontiers in aging …, 2022 - frontiersin.org
Background Early identification of Alzheimer's disease or mild cognitive impairment can help
guide direct prevention and supportive treatments, improve outcomes, and reduce medical …
guide direct prevention and supportive treatments, improve outcomes, and reduce medical …