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...