ReviewCambridge prisms. Precision medicine2023
Applications of artificial intelligence in dementia research.
Review in Cambridge prisms. Precision medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- A strategic pathway for the ethical development of AI tools in dementia care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Artificial intelligence in geriatric healthcare: a scoping review.BMC geriatrics · 2026Article
- Review
- The Role of AI in Improving Digital Wellness Among Older Adults: Comparative Bibliometric Analysis.JMIR AI · 2026Article
- Classification of AD and bvFTD using neuropsychological and neuropsychiatric variables: a machine learning study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Optimizing mobile cognitive assessment reduces administration time while maintaining screening accuracy in older adults.Scientific reports · 2025Article
- A preliminary study of the reliability and validity of the Uyghur version of the NUCOG cognitive screening application.BMC neurology · 2025Article
- Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Introduction to Large Language Models (LLMs) for dementia care and research.Frontiers in dementia · 2024Article
- Artificial Intelligence in Dementia: A Bibliometric Study.Diagnostics (Basel, Switzerland) · 2023Article
- IntroducingCambridge prisms. Precision medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.