Digital twin applications in healthcare for people living with disability

Digital twin technology offers transformative potential for disability healthcare, enabling personalised, predictive, and preventive care models. Successful implementation requires addressing technological, ethical, and accessibility challenges whilst ensuring equitable access for diverse disability populations. Critical research priorities include large-scale clinical trials, cost-effectiveness analyses, longitudinal outcomes studies, and ethical frameworks balancing surveillance concerns with care benefits.

Authors

Institutions

Publication Details

Journal
International Journal of Medical Informatics
Published
2026-02-18
DOI
https://doi.org/10.1016/j.ijmedinf.2026.106359
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital twin applications in healthcare for people living with disability

Saria Almarzook, David B. Olawade, Muyiwa Ademola Ogunbona, Olabanke Florence Olawuyi et al.
International Journal of Medical Informatics
Artificial Intelligence in Healthcare and Education
article

Digital twin applications in healthcare for people living with disability

Saria Almarzook, David B. Olawade, Muyiwa Ademola Ogunbona, Olabanke Florence Olawuyi, Babajide David Makanjuola, Ojima Z. Wada
article en

Abstract

Digital twin technology offers transformative potential for disability healthcare, enabling personalised, predictive, and preventive care models. Successful implementation requires addressing technological, ethical, and accessibility challenges whilst ensuring equitable access for diverse disability populations. Critical research priorities include large-scale clinical trials, cost-effectiveness analyses, longitudinal outcomes studies, and ethical frameworks balancing surveillance concerns with care benefits.

International Journal of Medical InformaticsVol. 212
University of East London (GB), University of Ibadan (NG), University of Calabar (NG), Hamad bin Khalifa University (QA), Department of Health Services (US), Sheffield Hallam University (GB)
Openalex Percentile: Top 52%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.