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Author

Patrick Sello

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Jul 2026

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

Embodied Artificial Intelligence (AI) systems are increasingly used to support clinical decision-making, telemedicine follow-up, and resource allocation, particularly in remote and resource-constrained healthcare settings. In these deployments, predictive models are embedded within clinical workflows and operate under...

Antoine B. Bagula, Landry Mbale, Olasupo O. Ajayi et al. · 0 citations

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