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A conceptual framework for measuring AI health equity · Peerford

Article · Journal · 2026

A conceptual framework for measuring AI health equity

Basile Njei, Ulrick Sidney Kanmounye, Luchuo Engelbert Bain, Yazan Al-Ajlouni, Olugbenga Ogedegbe, M. Elizabeth Sobhia and 3 more

International Journal for Equity in Health

Open access · Gold
International · 7 countries

Read it 10.1186/s12939-026-02950-8

Citations: 0from other works
Field-weighted impact: 0.001.00 is the world average for its field and year
Among its field: 57th percentileby citations, against works of its field and year
Authors: 9from 17 institutions

Authors

9 authors across 17 institutions in 7 countries

Basile NjeiFirst authorCorresponding
- University of Bangui (CF)
- Euclid University (GM)
Ulrick Sidney Kanmounye
Luchuo Engelbert Bain
- African Population and Health Research Center (KE)
- University of Johannesburg (ZA)
Yazan Al-Ajlouni
as printed: Yazan A. Al-Ajlouni
Olugbenga Ogedegbe
M. Elizabeth Sobhia
Rena C Patel
as printed: Rena C. Patel

Alan TitaSenior author

Countries on it

Canada
United Kingdom
Gambia
India
Kenya
United States
South Africa

Also on it

Albert Einstein College of Medicineeducation · US
Hamilton Health Scienceshealthcare · CA
McMaster Universityeducation · CA
Montefiore Medical Centerhealthcare · US
National Institute of Pharmaceutical Education and Researcheducation · IN
National Institute of Pharmaceutical Education and Researchgovernment · IN
New York Universityeducation · US
Ohio Universityeducation · US
Population Health Research Institutehealthcare · CA
UAB Medicinehealthcare
University of Alabama at Birminghameducation · US
University of Cumbriaeducation · GB
Yale New Haven Health Systemhealthcare · US
Yale Universityeducation · US

Fields

A work can sit in several, each with a score

Artificial Intelligence in Healthcare and EducationTopic
Ethics and Social Impacts of AITopic
Explainable Artificial Intelligence (XAI)Topic