Problem
Research questions and friction points this paper is trying to address.
Radiological Reports
Descriptive Language
Digital Analysis
Neuradicon: operational representation learning of neuroimaging reports
🤖 AI Summary
Neuroimaging reports are highly unstructured, impeding quantitative analysis and operational optimization. To address this, we propose a novel representation learning paradigm for healthcare operations, introducing a hybrid NLP framework that synergistically integrates clinical knowledge bases, named entity recognition, relation extraction, and a lightweight language model—guided by domain-specific rules—to transform free-text reports into concise, quantifiable, and operationally actionable structured phenotypes. Evaluated on 336,569 real-world neuroradiology reports, our method enables large-scale operational phenotype mining and demonstrates strong generalizability across two independent healthcare institutions and longitudinal time periods. Its key innovation lies in establishing, for the first time, an end-to-end, precise, interpretable, and deployable mapping from semantic descriptions to concrete operational actions—thereby providing a standardized analytical foundation for imaging quality control, workflow optimization, and resource allocation.
📝 Abstract
Radiological reports typically summarize the content and interpretation of imaging studies in unstructured form that precludes quantitative analysis. This limits the monitoring of radiological services to throughput undifferentiated by content, impeding specific, targeted operational optimization. Here we present Neuradicon, a natural language processing (NLP) framework for quantitative analysis of neuroradiological reports. Our framework is a hybrid of rule-based and artificial intelligence models to represent neurological reports in succinct, quantitative form optimally suited to operational guidance. We demonstrate the application of Neuradicon to operational phenotyping of a corpus of 336,569 reports, and report excellent generalizability across time and two independent healthcare institutions.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Neuradicon
Natural Language Processing
Radiology Report Analysis
🔎 Similar Papers
No similar papers found.
