Evidence map›Paper›PMID 41870692›Full record

ReviewJournal of epidemiology and global health2026

Exploring AI Driven Autonomous Vehicles as Mobile Health Units to Expand Access to Healthcare in Underserved Communities.

Adewunmi Akingbola, Adegbesan Abiodun, Olajide Ojo, Otumara Urowoli Jessica, Uthman Hassan Alao, Ademola Aiyenuro, Petra Mariaria

Abstract readReview
In one paragraph

Review in Journal of epidemiology and global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Adewunmi AkingbolaDepartment of Medicine, Infectious Diseases and Immunology, New York University Langone Health, United States of America, New York, NY, 10016, USA.ORCID http://orcid.org/0000-0001-7245-0340
Adegbesan AbiodunMenzies Institute of Medical Research, University of Tasmania, Tasmania, Hobart, Australia.ORCID http://orcid.org/0000-0001-9478-5360
Olajide OjoUniversity of West England, Coldharbour Ln, Stoke Gifford, Bristol, UK.
Otumara Urowoli JessicaAnglia Ruskin University, Cambridge, England, UK.
Uthman Hassan AlaoDepartment of Biomedical Laboratory Science, University of Ibadan, Ibadan, Nigeria.
Ademola AiyenuroDepartment of Pathology, University of Cambridge Old Schools Trinity Lane, Cambridge, CB2 1TN, Cambridgeshire England, UK.
Petra MariariaInfectious Diseases Institute, Makerere University, PO Box 22418, Kampala, Uganda. pkmariaria@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to quality healthcare remains a persistent challenge in many low- and middle-income countries, especially for rural and underserved populations. This paper explores the transformative potential of autonomous vehicles (AVs) as mobile health units, proposing a new model for healthcare delivery that leverages emerging transportation technology. We examine how AVs can be equipped with diagnostic tools, telemedicine capabilities, and essential medical supplies to bridge existing gaps in health access. Drawing from current use cases in mobile clinics and early AV deployments, we analyze the opportunities and limitations of this approach through a public health lens. Key barriers such as infrastructure deficits, digital inequity, policy uncertainty, and ethical concerns are critically discussed. The paper also provides targeted recommendations to policymakers, health institutions, and private sector stakeholders on how to advance AV-based healthcare solutions in an inclusive and sustainable manner. By integrating technology with health equity goals, AVs offer a novel and scalable path toward universal health coverage, particularly in contexts where traditional service delivery falls short. This work contributes to the growing conversation on how innovation can reshape public health systems in the 21st century.

Indexed as

Artificial IntelligenceAutonomous VehiclesHealth Services AccessibilityMedically Underserved AreaMobile Health UnitsDigital HealthHumansTelemedicineAccess to care.Autonomous vehiclesDigital infrastructureHealth equityMobile health unitsPublic health innovation

Identifiers

PMID41870692
PMCPMC13009437

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.