SOURCE-LINKED INTELLIGENCE
STEP: A Modular Silent Trial Engine for Operational Evaluation of Digital Pathology AI in Routine Workflow
Prospective silent trials provide an important bridge between retrospective validation of artificial intelligence (AI) models and their use in clinical care by evaluating model performance and operational reliability on live clinical data without influencing patient management. In computational pathology, conducting silent trials requires integration across laboratory information systems, digital pathology infrastructure, computational resources, and model inference pipelines, and these workflows are often implemented using application-specific software. We developed the Silent Trial Engine fo
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T20:33:39.000Z
First collected: 2026-09-21T08:32:02.028Z. This is not the publication date.