@inproceedings{56bfc46efbe0414b8ff56a3196344957,
title = "Evaluation of Document-Level Identification of Pulmonary Nodules in Radiology Reports Using FLAIR Natural Language Processing Framework",
abstract = "Incidental radiographic findings are commonly found in radiology reports, can have significant clinical implications, yet frequently are missed or not followed-up on due to clinician error. This work evaluates a document-level classification task of radiology reports for a type of incidental finding, pulmonary nodules, utilizing the FLAIR NLP framework as a proof-of-concept for potential automation of identification of such findings for more consistent tracking.",
keywords = "FLAIR, Incidentaloma, NLP, incidental finding, pulmonary nodule, radiology",
author = "Ray Oian and Sunyang Fu and Hongfang Liu",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 10th IEEE International Conference on Healthcare Informatics, ICHI 2022 ; Conference date: 11-06-2022 Through 14-06-2022",
year = "2022",
doi = "10.1109/ICHI54592.2022.00093",
language = "English (US)",
series = "Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "515--516",
booktitle = "Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022",
}