AI RESEARCH
A Semi-Automated Annotation Workflow for Paediatric Histopathology Reports Using Small Language Models
arXiv CS.CL
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ArXi:2604.04168v1 Announce Type: new Electronic Patient Record (EPR) systems contain valuable clinical information, but much of it is trapped in unstructured text, limiting its use for research and decision-making. Large language models can extract such information but require substantial computational resources to run locally, and sending sensitive clinical data to cloud-based services, even when deidentified, raises significant patient privacy concerns.