Evidence map›Paper›PMID 40613689›Full record

ReviewThe journals of gerontology. Series A, Biological sciences and medical sciences2025

Virtual humans in geriatric care: an integrative review.

Michael Joseph S Dino, Kenneth W Dion, Peter M Abadir, Chakra Budhathoki, Chien-Ming Huang, Joseph Carlo Vital, Jenica Ana Rivero, Ma Kristina Malacas, Rommel Hernandez, Patrick Tracy Balbin and 3 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Michael Joseph S DinoCollege of Nursing, University of Central Florida, 6850 Lake Nona Boulevard, Orlando, FL, 32827, United States.ORCID 0000-0003-1493-2549
Kenneth W DionSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.
Peter M AbadirSchool of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID 0000-0002-8186-0066
Chakra BudhathokiSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.
Chien-Ming HuangDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, United States.
Joseph Carlo VitalResearch Development and Innovation Center, Our Lady of Fatima University, Valenzuela City, Philippines.
Jenica Ana RiveroResearch Development and Innovation Center, Our Lady of Fatima University, Valenzuela City, Philippines.
Ma Kristina MalacasResearch Development and Innovation Center, Our Lady of Fatima University, Valenzuela City, Philippines.
Rommel HernandezResearch Development and Innovation Center, Our Lady of Fatima University, Valenzuela City, Philippines.
Patrick Tracy BalbinResearch Development and Innovation Center, Our Lady of Fatima University, Valenzuela City, Philippines.
Ladda ThiamwongCollege of Nursing, University of Central Florida, 6850 Lake Nona Boulevard, Orlando, FL, 32827, United States.
Cheryl R Dennison HimmelfarbSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.
Patricia M DavidsonSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.

Funding

Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease (MAITC): Technology ID & Training CoreP30AG073107 · UNIVERSITY OF MASSACHUSETTS AMHERST · 2025 to 2025
$4.2M
Technology Identification and Training CoreP30AG073105 · UNIVERSITY OF PENNSYLVANIA · 2025 to 2025
$4.0M
Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older AdultsP30AG073104 · JOHNS HOPKINS UNIVERSITY · 2025 to 2025
$3.9M
Optimizing a technology-based body and mind intervention to prevent falls and reduce health disparities in low-income populationsR01MD018025 · UNIVERSITY OF CENTRAL FLORIDA · 2025 to 2025
$538k
Johns Hopkins University P30AG073107NIA NIH HHS P30 AG073104NIA NIH HHS P30 AG073105NIA NIH HHS P30 AG073107NIH HHS P30AG073104NIMHD NIH HHS R01 MD018025
6 · The paper itself

Abstract

backgroundThe Fourth and Fifth Industrial Revolutions have introduced new and innovative technologies, such as artificial intelligence and virtual humanoids (VH) that offer promising solutions to health challenges among older adults. This project aims to provide an integrative review of VH concepts in geriatric care.

methodsScientific articles from reputable research databases (eg, Scopus, Web of Science, and PubMed) were extracted using relevant keywords and uploaded to the Covidence application for screening, full-text analysis, and extraction. A total of 36 articles were generated in the final stage of screening.

resultsThe 36 articles showcased various findings and insights on VH for geriatric care. More than half of the articles (66.67%) originated from the European region and were published in technology-related journals (55.56%). Most VH in the studies are used for social health interventions (33.3%), specifically for companionship purposes (25%). Furthermore, a great number of VH have average human likeness (55.56%) with the capacity to communicate with the end-user using pre-programmed responses (33.33%).

conclusionsThe use of VH in geriatric care has shifted from providing companionship (social) to delivering relevant instructions (educational) for health and well-being. Researchers from developing countries are providing increasing attention to VH studies involving multidisciplinary and interdisciplinary teams. The use of AI in VH development is limited, but it has the potential to transform geriatric care and the field of gerotechnology.

Indexed as

Artificial IntelligenceGeriatricsHealth Services for the AgedAgedHumansGeriatric careGerotechnologyIntegrative reviewOlder adultsVirtual humans

Identifiers

PMID40613689
PMCPMC12380252

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.