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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.

Artificial intelligence and machine learning approaches for patient safety in complex surgery: a review

2025Patient Safety in SurgeryJournalOpen access

10.1186/s13037-025-00458-8 Full text10 citations

Authors

10 authors across 13 institutions in 8 countries.

Mohamed Mustaf AhmedFirst authorCorresponding
- SIMAD University (SO)
Zhinya Kawa Othman
Uthman Okikiola Adebayo
- Federal Neuro Psychiatric Hospital (NG)
Omar Kasimieh
Olalekan J. Okesanya
- Federal Neuro Psychiatric Hospital (NG)
as printed: Olalekan John Okesanya
Shuaibu Saidu Musa
Francesco Branda
Victor C. Cañezo
Edgar G. Cue
Don Eliseo Lucero‐PrisnoSenior author
as printed: Don Eliseo Lucero Prisno III

Fields

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

Artificial Intelligence in Healthcare and Educationlevel 3 · 0.80
Surgical Simulation and Traininglevel 3 · 0.08
Sepsis Diagnosis and Treatmentlevel 3 · 0.01

Sources

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

openalexseen September 24, 2026
2025 · Patient Safety in Surgery · 10 citations
https://openalex.org/W4416630179

Artificial intelligence and machine learning approaches for patient safety in complex surgery: a review · Sankore