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

Natural Language Processing (947) Medical imaging (131) Machine Learning (2221) Artificial Intelligence (2328) Clinical Information and Decision Making (2057) Generative Language Models Including ChatGPT (799)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68618, first published .
Automated Radiology Report Labeling in Chest X-Ray Pathologies: Development and Evaluation of a Large Language Model Framework

Automated Radiology Report Labeling in Chest X-Ray Pathologies: Development and Evaluation of a Large Language Model Framework

Automated Radiology Report Labeling in Chest X-Ray Pathologies: Development and Evaluation of a Large Language Model Framework

Authors of this article:

Abdullah Abdullah1 Author Orcid Image ;   Seong Tae Kim1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Yao Y, Cen X, Gan L, Jiang J, Wang M, Xu Y, Yuan J. Automated Esophageal Cancer Staging From Free-Text Radiology Reports: Large Language Model Evaluation Study. JMIR Medical Informatics 2025;13:e75556 View
  2. Chavoshi M, Trivedi H, Mansuri A, Newsome J, Sanyika C, Isaac R, Li F, Dapamede T, Gichoya J. Impact of Label Noise from Large Language Model–generated Annotations on Evaluation of Diagnostic Model Performance. Radiology: Artificial Intelligence 2026;8(2) View
  3. Hanna J, Evans C, Dennis C, Lee K, Lehmann C, Medford R. Using a Large Language Model–Generated Prompt to Extract Features from Synthetic MRI Brain Scan Reports: A Cross-Sectional Study. Methods of Information in Medicine 2025;64(01/02):054 View
  4. Parra-Cabrera G, Jiménez-Delgado J, Pérez-Cano F. Artificial Intelligence for Pulmonary Abnormality Detection in Chest X-Ray Imaging: A Detailed Review of Methods, Datasets and Future Directions. Technologies 2026;14(3):147 View

Conference Proceedings

  1. Yin H. Proceedings of the 2025 4th International Conference on Health Big Data and Intelligent Healthcare. RadTune-LLM: Fine-Tuning Local LLMs for Privacy-Preserving Radiology Report Labeling View