An agentic framework for intelligent clinical laboratory medicine
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Updated: Oct 31, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
He S Yang1, Weishen Pan2, Melissa M Cushing3
1Department of Pathology and Laboratory and Laboratory Medicine. Weill Cornell Medicine, New York, NY, USA. hey9012@med.cornell.edu.
Abstract:
Clinical laboratory medicine is fundamental to healthcare yet remains an underrecognized frontier for artificial intelligence. We propose LabARIA, a human-supervised multi-agent framework that coordinates laboratory data, quality management, workflow optimization, and operational intelligence. By integrating specialized agents under transparent governance, LabARIA enables proactive laboratory management while preserving human oversight. Laboratory medicine offers a promising environment for developing, evaluating, and translating trustworthy agentic AI into healthcare delivery.
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