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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.

Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models

2024Tropical Medicine and Infectious DiseaseJournalOpen access

10.3390/tropicalmed9090216 Full text17 citations

Authors

11 authors across 6 institutions in 2 countries.

Kingsley AttaiFirst authorCorresponding
Moses Effiong Ekpenyong
- University of Uyo (NG)
as printed: Moses Ekpenyong
Constance Amannah
- University of Port Harcourt (NG)
Daniel Ekpenyong Asuquo
- University of Uyo (NG)
as printed: Daniel Asuquo
Peterben Ajuga
- Gregory University Uturu (NG)
Okure Obot
- University of Uyo (NG)
Ekemini Johnson
Anietie John
Omosivie Maduka
- University of Port Harcourt Teaching Hospital (NG)
Christie D. Akwaowo
- University of Uyo Teaching Hospital (NG)
as printed: Christie Akwaowo
Faith-Michael UzokaSenior author

Fields

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

Explainable Artificial Intelligence (XAI)level 3 · 0.99
Artificial Intelligence in Healthcare and Educationlevel 3 · 0.97
Clinical Reasoning and Diagnostic Skillslevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2024 · Tropical Medicine and Infectious Disease · 17 citations
https://openalex.org/W4402796311

Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models · Sankore