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Natural Language Processing (1302) Clinical Informatics (2302) Clinical Information and Decision Making (3749) Imaging Informatics (472) Machine Learning (3218) Cancer Prognosis Models and Machine Learning (138) Medical imaging (195)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92937, first published .
Doctor shows MRI scans to patient with headscarf in hospital room.

Automated Extraction of Postoperative Cancer Recurrence and Metastasis From Computed Tomography (CT) Reports: Semisupervised Deep Learning Study

Automated Extraction of Postoperative Cancer Recurrence and Metastasis From Computed Tomography (CT) Reports: Semisupervised Deep Learning Study

Authors of this article:

Wonkeun Jo1, 2 Author Orcid Image ;   Bumwoo Park3 Author Orcid Image ;   Ji-Hoon Sim4 Author Orcid Image
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Wonkeun Jo   1, 2 * , PhD ;   Bumwoo Park   3 * , PhD ;   Ji-Hoon Sim   4 , MD, PhD

1 Biomedical Engineering Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea

2 Center for Space Exploration Technology, Division of Space Exploration, Korea Astronomy and Space Science Institute, Daejeon, Republic of Korea

3 Department of Information Medicine, Asan Medical Center, Seoul, Republic of Korea

4 Department of Anesthesiology and Pain Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Ji-Hoon Sim, MD, PhD
  • Department of Anesthesiology and Pain Medicine
  • University of Ulsan College of Medicine, Asan Medical Center
  • 88, Olympic-ro 43-Gil, Songpa-gu
  • Seoul 05505
  • Republic of Korea
  • Phone: 1 1688-7575
  • Email: jihoon_sim@amc.seoul.kr