Evidence map›Paper›PMID 40294433›Full record

ArticleJMIR formative research2025

Applications of Self-Driving Vehicles in an Aging Population.

Sara Shu, Benjamin K P Woo

Abstract read
In one paragraph

Article in JMIR formative research, 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. Article
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

2 authors.

Sara ShuDepartment of Community Internal Medicine, Geriatrics and Palliative, Mayo Clinic, 200 First Street SW, Rochester, MN, 55901, United States, 1 5072845278.ORCID 0000-0002-7419-7251
Benjamin K P WooUniversity of California, Los Angeles, Los Angeles, CA, United States.ORCID 0000-0002-0127-4850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: The proportion of older adult drivers is increasing and represents a growing population that must contemplate reducing driving and eventually stopping driving. The advent of self-driving vehicles opens vast possibilities with practical and far-reaching applications for our aging population. Advancing technologies in transportation may help to overcome transportation barriers for less mobile individuals, transcend social and geographical isolation, and improve resource and medical access. Herein, we propose various applications and benefits that self-driving vehicles have in maintaining independence and autonomy specifically for our aging population to preserve aging.

Indexed as

AgingAutomobile DrivingAutomobilesAccidents, TrafficAgedAged, 80 and overFemaleHumansMaleTransportationagingaging in placeartificial intelligenceautonomous vehiclesautonomycardriverdriverlessdrivingelderlygeriatricgerontologyhealth equityhealthy agingindependencemobilityolderolder adultself-drivingtransportationtravelvehicle

Identifiers

PMID40294433
PMCPMC12052292

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.