Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69785, first published .
Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study

Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study

Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study

Eun-Tae Jeon   1 , PhD ;   Heemoon Park   2 , PhD ;   Jung-Kyu Lee   2 , PhD ;   Eun Young Heo   2 , PhD ;   Chang Hoon Lee   3 , PhD ;   Deog Kyeom Kim   2 , PhD ;   Dong Hyun Kim   4 * , PhD ;   Hyun Woo Lee   2 * , PhD

1 Department of Neurology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea

2 Department of Internal Medicine, Division of Respiratory and Critical Care, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea

3 Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Seoul National University Hospital, Seoul, Republic of Korea

4 Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Hyun Woo Lee, PhD
  • Department of Internal Medicine
  • Division of Respiratory and Critical Care
  • Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center
  • 20 Boramae-ro-5-gil, Dongjak-gu
  • Seoul, 07061
  • Republic of Korea
  • Phone: 82 10-9755-6172
  • Email: athrunzara86@gmail.com