AI Specimen Intelligence Platform: A Framework for Predictive Risk Detection in Clinical Laboratory Workflows

This paper proposes an AI Specimen Intelligence Platform, a conceptual framework for identifying specimen quality and processing risks early in laboratory workflows. The framework combines barcode validation, imaging, computer vision, predictive analytics, and operational decision support to help identify specimen concerns before downstream processing occurs. The paper discusses architecture, risk assessment models, operational workflows, implementation considerations, and future opportunities for predictive intelligence in laboratory operations.