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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.

Can artificial intelligence bridge critical gaps in hypertension prediction and risk assessment in low- and middle-income countries? A scoping review

2026BMJ Public HealthJournalOpen access

10.1136/bmjph-2025-003435 Full text0 citations

Authors

7 authors.

David SasuFirst author
- Ashesi University (GH)
Tsatsu Agbettor
- Ashesi University (GH)
Angela Owusu–Ansah
- Ashesi University (GH)
as printed: Angela Owusu Ansah
William Annoh
- Ashesi University (GH)
Lecia Ackerson
- Ashesi University (GH)
Ayeyi Adjoa Domeyo Ohene-Adu
- Ashesi University (GH)
Roselyn Sackitey-MateySenior author
- Ashesi University (GH)

Fields

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

Artificial Intelligence in Healthcare and Educationlevel 3 · 0.74
Blood Pressure and Hypertension Studieslevel 3 · 0.04
Artificial Intelligence in Healthcarelevel 3 · 0.03

Sources

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

openalexseen September 5, 2026
2026 · BMJ Public Health · 0 citations
https://openalex.org/W7162090765

Can artificial intelligence bridge critical gaps in hypertension prediction and risk assessment in low- and middle-income countries? A scoping review · Sankore