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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

A REVIEW OF THE ETHICAL AND SOCIO‑CULTURAL IMPLICATIONS OF USING ARTIFICIAL INTELLIGENCE TO INFLUENCE HEALTH‑SEEKING BEHAVIOR FOR OBSTETRIC COMPLICATIONS IN NIGERIA

2026International Journal on Sustainable Industrial RevolutionJournalOpen access

10.53982/ijsir.2026.0102.14-j Full text0 citations

Authors

2 authors.

Ebunoluwa AdebayoFirst author
- Afe Babalola University (NG)
as printed: Ebunoluwa ADEBAYO
Sunday A. AfolaluSenior author
- Afe Babalola University (NG)
as printed: Sunday Adeniran Afolalu

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Artificial Intelligence in Healthcare and Educationlevel 3 · 0.21
Global Maternal and Child Healthlevel 3 · 0.09
Mobile Health and mHealth Applicationslevel 3 · 0.08

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · International Journal on Sustainable Industrial Revolution · 0 citations
https://openalex.org/W7164884426

A REVIEW OF THE ETHICAL AND SOCIO‑CULTURAL IMPLICATIONS OF USING ARTIFICIAL INTELLIGENCE TO INFLUENCE HEALTH‑SEEKING BEHAVIOR FOR OBSTETRIC COMPLICATIONS IN NIGERIA · Sankore