Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67056, first published .
Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study

Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study

Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study

Sanghwan Kim   1 * , MS ;   Sowon Jang   2 * , MD ;   Borham Kim   3 , BS ;   Leonard Sunwoo   2 , MD, PhD ;   Seok Kim   3 , MPH ;   Jin-Haeng Chung   4, 5 , MD, PhD ;   Sejin Nam   1 , PhD ;   Hyeongmin Cho   1 , MS ;   Donghyoung Lee   1 ;   Keehyuck Lee   6 * , MD, MBA ;   Sooyoung Yoo   3 , PhD

1 ezCaretech Research & Development Center, Seoul, Republic of Korea

2 Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

3 Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

4 Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea

5 Department of Pathology and Translational Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

6 Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Sooyoung Yoo, PhD
  • Office of eHealth Research and Business
  • Seoul National University Bundang Hospital
  • Healthcare Innovation Park
  • Seongnam, 13605
  • Republic of Korea
  • Phone: 82 317878980
  • Email: yoosoo0@snubh.org