Evidence map›Paper›PMID 40847466›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Artificial Intelligence and Health Equity for People with Disabilities: An Integrated Framework for Disability-Inclusive AI Design.

Emre Umucu

Erratum issuedAbstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Emre UmucuThe University of Texas at El Paso, TX, USA.ORCID 0000-0002-3945-6975

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People with disabilities (PWD) face persistent health and rehabilitation disparities, including poorer health outcomes often driven by non-inclusive healthcare and technologies that overlook their unique needs and values. Artificial intelligence (AI) holds opportunities to transform health and rehabilitation services; however, without inclusive, participatory, and disability-centered design efforts, AI tools risk perpetuating existing health and rehabilitation disparities and inequalities. This paper introduces an integrated framework for disability-inclusive AI design grounded in Self-Determination Theory (SDT) and Self-Efficacy Theory (SET). The framework aims to guide the design, development, and implementation of inclusive AI tools for PWD. It also outlines implications for public health, workforce, training, and policy, supporting the integration of disability-centered AI in health and rehabilitation.

Indexed as

Artificial IntelligenceHealth EquityPersons with DisabilitiesHumansSelf EfficacyAIdisabilityhealth disparitieshealth equityinclusive technology

Identifiers

PMID40847466
PMCPMC12374087

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.