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

Natural Language Processing (706) Clinical Informatics (1050) Ontologies, Classifications, and Coding (243) Machine Learning (1501) Development and Evaluation of Research Methods, Instruments and Tools (511) Artificial Intelligence (1421) Tools, Programs and Algorithms (275) Decision Support for Health Professionals (1210) Generative Language Models Including ChatGPT (325) Lung Cancer (36) Immunoinformatics and Pathology informatics (13)

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

Authors of this article:

Sanghwan Kim1 Author Orcid Image ;   Sowon Jang2 Author Orcid Image ;   Borham Kim3 Author Orcid Image ;   Leonard Sunwoo2 Author Orcid Image ;   Seok Kim3 Author Orcid Image ;   Jin-Haeng Chung4, 5 Author Orcid Image ;   Sejin Nam1 Author Orcid Image ;   Hyeongmin Cho1 Author Orcid Image ;   Donghyoung Lee1 Author Orcid Image ;   Keehyuck Lee6 Author Orcid Image ;   Sooyoung Yoo3 Author Orcid Image
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