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

AI Language Models in Health Care (267) Clinical Information and Decision Making (2105) Natural Language Processing (971) Electronic Health Records (1393) Artificial Intelligence (2399) Generative Language Models Including ChatGPT (843)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78432, first published .
Medical Feature Extraction From Clinical Examination Notes: Development and Evaluation of a Two-Phase Large Language Model Framework

Medical Feature Extraction From Clinical Examination Notes: Development and Evaluation of a Two-Phase Large Language Model Framework

Medical Feature Extraction From Clinical Examination Notes: Development and Evaluation of a Two-Phase Large Language Model Framework

Authors of this article:

Manal Abumelha1, 2 Author Orcid Image ;   Abdullah AL-Malaise AL-Ghamdi1, 3 Author Orcid Image ;   Ayman Fayoumi1 Author Orcid Image ;   Mahmoud Ragab4 Author Orcid Image
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Journals

  1. Jin R, Ling C, Hou Y, Sun Y, Li N, Han J, Sheng J, Wang Q, Liu Y, Zheng S, Ren X, Chen C, Wang J, Li C. Augmenting Large Language Model With Prompt Engineering and Supervised Fine-Tuning in Non-Small Cell Lung Cancer Tumor-Node-Metastasis Staging: Framework Development and Validation. JMIR AI 2026;5:e77988 View