Evidence map›Paper›PMID 41092076›Full record

ArticleDeveloping world bioethics2026

Reframing Justice in Healthcare AI: An Ubuntu-Based Approach for Africa.

Aloysius Ochasi, Abdoul Jalil Djiberou Mahamadou, Russ B Altman, Levi U C Nkwocha

Abstract read
In one paragraph

Article in Developing world bioethics, 2026. 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

4 authors.

Aloysius OchasiDepartment of Bioethics and Interdisciplinary Studies, Brody School of Medicine, East Carolina University, Greenville, North Carolina, USA.ORCID https://orcid.org/0009-0006-3898-0368
Abdoul Jalil Djiberou MahamadouStanford Center for Biomedical Ethics, Stanford University Department of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0003-3295-1911
Russ B AltmanStanford Center for Biomedical Ethics, Stanford University Department of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0003-3859-2905
Levi U C NkwochaDepartment of Theology and Health, University of Saint Francis, Fort Wayne, Indiana, USA.ORCID https://orcid.org/0000-0001-8041-9335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an ongoing debate on how to balance the benefits and risks of artificial intelligence (AI), especially in healthcare. In resource-constrained settings, such as Africa, where access to quality care remains a challenge, AI has the potential to improve efficiency, accessibility, and patient outcomes. Yet, its development and deployment raise complex ethical, legal, ecological, and socioeconomic concerns. To ensure context-sensitive solutions, this paper introduces Ubuntu, a traditional African ethical philosophy, as a guiding framework for AI in African healthcare. Ubuntu offers a people-centered alternative to dominant Western-centric models, providing a culturally grounded lens for interpreting justice-related principles in line with Africa's unique needs and realities. Drawing on Ubuntu's five core values of communalism, interdependence, humanism, sharing, and compassion, we analyze how these principles can ethically guide AI across three normative pillars: justice and fairness, solidarity, and sustainability. For each, we identify risks and offer concrete, culturally resonant strategies to address them. In doing so, we undertake a distinctive scholarly contribution that meaningfully enriches the emerging discourse on decolonizing AI by reframing Ubuntu not only as a moral compass but also as a strategic tool for structural reform and innovation.

Indexed as

Artificial IntelligenceDelivery of Health CareSocial JusticeAfricaDeveloping CountriesHealth Services AccessibilityHumansResource-Limited SettingsAfricaAI ethicshealthcarejusticeubuntu

Identifiers

PMID41092076
PMCPMC13570747

What OpenQuestion holds

Textmetadata
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.