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

Machine Learning (3404) Pathology and Laboratory Medicine (58) Imaging Informatics (529) Artificial Intelligence (5152) Computer-Aided Diagnosis (453) AI applications in genomics and pathology informatics, including generative AI (49) Applications of AI (1152)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/100445, first published .
Scientist in lab coat and goggles examines blood sample at computer displaying medical data

Deep-Learning Analysis of Peripheral Blood Smear for Prediction of Acute Inflammatory States and Chronic Comorbidities: Development and Internal Validation Study

Deep-Learning Analysis of Peripheral Blood Smear for Prediction of Acute Inflammatory States and Chronic Comorbidities: Development and Internal Validation Study

Authors of this article:

Jaehyeok Jang1, 2 Author Orcid Image ;   Minsu Lee2 Author Orcid Image ;   Yu Rang Park2 Author Orcid Image ;   Jaewoo Song1 Author Orcid Image
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Jaehyeok Jang   1, 2 * , MD, MS ;   Minsu Lee   2 * , BS ;   Yu Rang Park   2 , PhD ;   Jaewoo Song   1 , MD, PhD

1 Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea

2 Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Yu Rang Park, PhD
  • Department of Biomedical Systems Informatics
  • Yonsei University College of Medicine
  • 50-1 Yonsei-ro, Seodaemun-gu
  • Seoul 03722
  • Republic of Korea
  • Phone: 82 2 2228 2493
  • Email: yurangpark@yuhs.ac