Applications of artificial intelligence in dementia research
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AbstractMore 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 impacts on
the healthcare system are expected as we wait for an effective treatment for dementia.
Researchers are constantly exploring new therapies and screening approaches for the early
detection of dementia. Artificial intelligence (AI) is widely applied in dementia research,
including machine learning and deep learning methods for dementia diagnosis and progression
detection. Computerized apps are also convenient tools for patients and caregivers to monitor
cognitive function changes. Furthermore, social robots can potentially provide daily life support
or guidance for the elderly who live alone. This review aims to provide an overview of AI
applications in dementia research. We divided the applications into three categories according to
different stages of cognitive impairment: (1) cognitive screening and training, (2) diagnosis and
prognosis for dementia, and (3) dementia care and interventions. There are numerous studies on
AI applications for dementia research. However, one challenge that remains is comparing the
effectiveness of different AI methods in real clinical settings.
All Author(s) ListKelvin K. F. Tsoi, Pingping Jia, N. Maritza Dowling, Jodi R. Titiner, Maude Wagner, Ana W. Capuano, Michael C. Donohue
Journal namePrecision Medicine
Volume Number1
PublisherCambridge University Press
Article numbere9
LanguagesEnglish-United States

Last updated on 2023-22-12 at 10:32