This paper is in the following e-collection/theme issue:

Prostate Cancer (38) Natural Language Processing (797) Ontologies, Classifications, and Coding (269)

Published on in Vol 7, No 3 (2021): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27970, first published .
A Natural Language Processing–Assisted Extraction System for Gleason Scores: Development and Usability Study

A Natural Language Processing–Assisted Extraction System for Gleason Scores: Development and Usability Study

A Natural Language Processing–Assisted Extraction System for Gleason Scores: Development and Usability Study

Authors of this article:

Shun Yu1 Author Orcid Image ;   Anh Le2 Author Orcid Image ;   Emily Feld1 Author Orcid Image ;   Emily Schriver1 Author Orcid Image ;   Peter Gabriel1, 2 Author Orcid Image ;   Abigail Doucette1 Author Orcid Image ;   Vivek Narayan1, 2 Author Orcid Image ;   Michael Feldman1, 2 Author Orcid Image ;   Lauren Schwartz1, 2 Author Orcid Image ;   Kara Maxwell1, 2 Author Orcid Image ;   Danielle Mowery2 Author Orcid Image
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  2. Nakai H, Suman G, Adamo D, Navin P, Bookwalter C, LeGout J, Chen F, Wellnitz C, Silva A, Thomas J, Kawashima A, Fan J, Froemming A, Lomas D, Humphreys M, Dora C, Korfiatis P, Takahashi N. Natural language processing pipeline to extract prostate cancer-related information from clinical notes. European Radiology 2024;34(12):7878 View
  3. Rajwal S, Zhang Z, Chen Y, Rogers H, Sarker A, Xiao Y. Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review. JMIR Research Protocols 2025;14:e66094 View
  4. Banyi N, Ma B, Amanian A, Bur A, Abdalkhani A. Applications of Natural Language Processing in Otolaryngology: A Scoping Review. The Laryngoscope 2025 View

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