ArticleAge and ageing2023
New Horizons in artificial intelligence in the healthcare of older people.
Article in Age and ageing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.
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
36 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Research on patient-facing chatbots based on large language models in the care of older people: a living systematic review.European geriatric medicine · 2026Pooled it
- Advancing Remote Monitoring for Patients With Alzheimer Disease and Related Dementias: Systematic Review.JMIR aging · 2025Pooled it
- Delirium detection in the emergency department: A diagnostic accuracy meta-analysis of history, physical examination, laboratory tests, and screening instruments.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024Pooled it
- Clin-STAR Corner: Practice Changing Advances at the Interface of Artificial Intelligence/Machine Learning and Geriatrics.Journal of the American Geriatrics Society · 2026Review
- Use of Computer Vision with Conventional Video Recordings of Gait in Older Adults: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- Artificial Intelligence Can Direct Patients Toward a Complaint-specific Musculoskeletal Provider.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026Article
- AI-Augmented Teach-Back in Dentistry: From Patient Education to Verified Clinical Understanding.Cureus · 2026Review
- Artificial intelligence in geriatric healthcare: a scoping review.BMC geriatrics · 2026Article
- Perceived educational needs in geriatric medicine of professionals: a multinational multilingual open online survey.European geriatric medicine · 2026Article
- [Artificial intelligence in surgical disciplines: Clinical application, advantages, and potential-a Delphi expert consensus].Urologie (Heidelberg, Germany) · 2026Article
- Identifying necessary conditions for medical students' adoption of AI in the future practice: a survey study in Canada.BMC medical education · 2026Article
- An evidence-based nursing management app prototype for adult urology day surgery: an AI-driven development pathway.BMC nursing · 2026Article
- Personalised Approach to the Management of Older People with Type 2 Diabetes Mellitus-A Comprehensive Narrative Review.Journal of personalized medicine · 2026Review
- Clinicians' perspectives of pain in older adults with heart failure.Geriatric nursing (New York, N.Y.) · 2026Article
- AI Triage in Primary Care: Building Safer and More Equitable Real-World Evidence.Journal of medical Internet research · 2026Article
- Using data and artificial intelligence to improve care pathways of older people experiencing falls and frailty: Opportunities, challenges and practical considerations for clinicians.Clinical medicine (London, England) · 2026Review
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- The Role of AI in Improving Digital Wellness Among Older Adults: Comparative Bibliometric Analysis.JMIR AI · 2026Article
- Family caregivers' acceptance of Artificial Intelligence-enabled technologies for providing care to older adults.BMC geriatrics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Artificial intelligence (AI) in healthcare describes algorithm-based computational techniques which manage and analyse large datasets to make inferences and predictions. There are many potential applications of AI in the care of older people, from clinical decision support systems that can support identification of delirium from clinical records to wearable devices that can predict the risk of a fall. We held four meetings of older people, clinicians and AI researchers. Three priority areas were identified for AI application in the care of older people. These included: monitoring and early diagnosis of disease, stratified care and care coordination between healthcare providers. However, the meetings also highlighted concerns that AI may exacerbate health inequity for older people through bias within AI models, lack of external validation amongst older people, infringements on privacy and autonomy, insufficient transparency of AI models and lack of safeguarding for errors. Creating effective interventions for older people requires a person-centred approach to account for the needs of older people, as well as sufficient clinical and technological governance to meet standards of generalisability, transparency and effectiveness. Education of clinicians and patients is also needed to ensure appropriate use of AI technologies, with investment in technological infrastructure required to ensure equity of access.
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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.