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

Development and Evaluation of Research Methods, Instruments and Tools (620) Innovations and Technology in Cancer Research (38) Generative Language Models Including ChatGPT (460) Methods in Cancer Research (36) Natural Language Processing (783) Electronic Health Records (1152)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64544, first published .
Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study

Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study

Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study

Authors of this article:

Denise Lee1 Author Orcid Image ;   Akhil Vaid2 Author Orcid Image ;   Kartikeya M Menon1 Author Orcid Image ;   Robert Freeman2 Author Orcid Image ;   David S Matteson3 Author Orcid Image ;   Michael L Marin1 Author Orcid Image ;   Girish N Nadkarni2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Denise Lee   1 * , MD ;   Akhil Vaid   2 * , MD ;   Kartikeya M Menon   1 , BA ;   Robert Freeman   2 , DNP, RN ;   David S Matteson   3 , PhD ;   Michael L Marin   1 , MD ;   Girish N Nadkarni   2 , MD, MPH

1 Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States

2 Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

3 Department of Statistics and Data Science, Cornell University, Ithaca, NY, United States

*these authors contributed equally

Corresponding Author:

  • Denise Lee, MD
  • Department of Surgery
  • Icahn School of Medicine at Mount Sinai
  • 10 Union Square East, Suite 2L
  • New York, NY, 10003
  • United States
  • Phone: 1 212 241 2891
  • Email: denise.lee@mountsinai.org