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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.

Exploring the Potentials of Large Language Models in Vascular and Interventional Radiology: Opportunities and Challenges

2024The Arab Journal of Interventional RadiologyJournalOpen access

10.1055/s-0044-1782663 Full text7 citations

Authors

4 authors across 2 institutions in 1 country.

Taofeeq Oluwatosin TogunwaFirst authorCorresponding
- University College Hospital, Ibadan (NG)
- University of Ibadan (NG)
Abdulquddus Ajibade
- University of Ibadan (NG)
Christabel Uche-Orji
- University College Hospital, Ibadan (NG)
- University of Ibadan (NG)
Richard OlatunjiSenior author
- University of Ibadan (NG)

Fields

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

Artificial Intelligence in Healthcare and Educationlevel 3 · 1.00
Radiomics and Machine Learning in Medical Imaginglevel 3 · 1.00
AI in cancer detectionlevel 3 · 0.95

Sources

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

openalexseen September 9, 2026
2024 · The Arab Journal of Interventional Radiology · 7 citations
https://openalex.org/W4394978621

Exploring the Potentials of Large Language Models in Vascular and Interventional Radiology: Opportunities and Challenges · Sankore