Automatic Detection of Distant Metastasis Mentions in Radiology Reports in Spanish.
Ricardo AhumadaJocelyn DunstanMatías RojasSergio PeñafielInti ParedesPablo BáezPublished in: JCO clinical cancer informatics (2024)
These results show the usefulness of the model in detecting distant metastasis findings in three different types of cancer and the consequent classification of reports. The relevance of this study is to generate structured distant metastasis information from free-text imaging reports in Spanish. In addition, the manually annotated corpus, annotation guidelines, and code are freely released to the research community.
Keyphrases
- lymph node
- deep learning
- adverse drug
- machine learning
- artificial intelligence
- healthcare
- high resolution
- papillary thyroid
- clinical practice
- health information
- rna seq
- young adults
- real time pcr
- loop mediated isothermal amplification
- neural network
- photodynamic therapy
- childhood cancer
- electronic health record
- sensitive detection