Development and Validation of a Natural Language Processing Algorithm for Extracting Clinical and Pathological Features of Breast Cancer From Pathology Reports
The present study aligns with the rapidly evolving field of artificial intelligence (AI) applications in oncology, seeking to expedite the development of complex cancer databases and registries. The results of the model are currently undergoing postprocessing procedures to organize the data into tabular structures, facilitating their utilization in real-world clinical and research endeavors.
Authors
- Giuseppe Curigliano (ORCID: https://orcid.org/0000-0003-1781-2518)
- Nicola Fusco (ORCID: https://orcid.org/0000-0002-9101-9131)
- Elisabetta Munzone (ORCID: https://orcid.org/0000-0003-3371-3878)
- Marianna D’Ercole (ORCID: https://orcid.org/0000-0003-1857-8823)
- Vincenzo Bagnardi (ORCID: https://orcid.org/0000-0002-4938-3482)
- Davide Sangalli (ORCID: https://orcid.org/0000-0002-4689-6215)
- Eleonora Pagan (ORCID: https://orcid.org/0000-0002-6788-394X)
- Francesca Porta (ORCID: https://orcid.org/0000-0003-2841-5024)
- Antonio Marra (ORCID: https://orcid.org/0000-0002-7310-7824)
- Federico Comotto
- Ilaria Bigoni
- Fabiana Ritorti
- M. Lo Cascio
- Claudia Sangalli
- L Del Guercio
Institutions
- University of Milan (IT)
- Reply (Italy) (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- European Institute of Oncology (IT)
- University of Milano-Bicocca (IT)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1200/cci.24.00034
- Citations
- 7
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 1.64