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A natural language processing algorithm to extract MRI and biopsy-related phenotypes for prostate cancer patients.

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Year: 2025
Type: conference-abstract
Source: Journal of Clinical Oncology
DOI: 10.1200/jco.2025.43.5_suppl.356
Authors: John Culnan, Sergey Goryachev, Daniel Chen, Oleg Soloviev, Grace Lee, John Bihn, June Corrigan, Karlynn N Dulberger, Jennifer La, Kaitlin Swinnerton, Tanya B. Dorff, Isla Garraway, Susan Halabi, Stacy Loeb, Nicholas George Nickols, Matthew Rettig, Martin W. Schoen, Channing Judith Paller, Nathanael Fillmore, Matthew R. Cooperberg, PROFOUND-VET Investigators Group
Institutions: VA Boston Healthcare System, Boston University, University of California, San Francisco, City Of Hope National Medical Center, University of California, Los Angeles, Duke University, Duke Medical Center, NYU Langone Health, VA Greater Los Angeles Healthcare System, Saint Louis University, Johns Hopkins University, Sidney Kimmel Comprehensive Cancer Center, Harvard University
Language: English

Topic: Biomedical Text Mining and Ontologies
Subfield: Molecular Biology
Field: Biochemistry, Genetics and Molecular Biology
Domain: Life Sciences
SDG: Good health and well-being

Open Access status: closed

Funder: Office of Research and Development
OpenAlex ID: W4407702098
Cites:
Cited by: 1
Related to: 10
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