alimoezzi/ReportQL
Code and dataset for paper - Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
This project helps radiologists and medical researchers automatically convert unstructured, free-text radiology reports into a structured, organized format. It takes a narrative radiology report as input and extracts key clinical information, like findings about organs, into a clear, usable structure. This is designed for anyone needing to efficiently analyze or database information from many radiology reports, like those in medical research or clinical auditing.
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Use this if you need to transform a large volume of free-text radiology reports into a structured, searchable, and analyzable data format.
Not ideal if you primarily work with pre-structured medical reports or need to extract information beyond fine-grained named entities from sonography reports.
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11
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3
Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 17, 2023
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