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Unlocking rare cancer data: using large language models to extract information from clinical notes
One of the main objectives of the IDEA4RC project is to develop an algorithm capable of extracting data from clinicians’ notes and pathology or radiology reports stored within the hospital’s information system. Currently, a wealth of information is locked within these texts, which cannot be fully utilized by researchers to uncover more about rare cancers,…
Intelligent ecosystem to improve
the governance, the sharing,
and the re-use of health data for rare cancers