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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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When 99.98% is too Good to be True: Preventing Rule-Induced Overfitting in Embodied Clinical AI for Surgical Readmission Prediction

2026Publication

10.23919/ituk70038.2026.11632583 Full text0 citations

Authors

8 authors across 2 institutions in 1 country.

Antoine BagulaFirst author
- University of the Western Cape (ZA)
Landry Mbale
- University of the Western Cape (ZA)
Olasupo Ajayi
- University of the Western Cape (ZA)
Patrick Sello
- University of the Western Cape (ZA)
Jennifer Chipps
- University of the Western Cape (ZA)
Sean Broomhead
- University of the Western Cape (ZA)
Petra Brysiewicz
- University of KwaZulu-Natal (ZA)
Damian ClarkeSenior author
- University of KwaZulu-Natal (ZA)

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openalexseen September 8, 2026
2026 · 0 citations
https://openalex.org/W7202377083

When 99.98% is too Good to be True: Preventing Rule-Induced Overfitting in Embodied Clinical AI for Surgical Readmission Prediction · Sankore