Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24762, first published .
Development and Validation of an Arterial Pressure-Based Cardiac Output Algorithm Using a Convolutional Neural Network: Retrospective Study Based on Prospective Registry Data

Development and Validation of an Arterial Pressure-Based Cardiac Output Algorithm Using a Convolutional Neural Network: Retrospective Study Based on Prospective Registry Data

Development and Validation of an Arterial Pressure-Based Cardiac Output Algorithm Using a Convolutional Neural Network: Retrospective Study Based on Prospective Registry Data

Hyun-Lim Yang   1, 2 , PhD ;   Chul-Woo Jung   1, 3 , MD, PhD ;   Seong Mi Yang   1, 3 , MD, PhD ;   Min-Soo Kim   4 , PhD ;   Sungho Shim   5 , BSc ;   Kook Hyun Lee   1, 3 , MD, PhD ;   Hyung-Chul Lee   1, 3 , MD, PhD

1 Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea

2 Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea

3 Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea

4 School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

5 Department of Information and Communication Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, Republic of Korea

Corresponding Author:

  • Hyung-Chul Lee, MD, PhD
  • Department of Anesthesiology and Pain Medicine
  • Seoul National University College of Medicine
  • 101 Daehak-ro
  • Jongno-gu
  • Seoul, 03080
  • Republic of Korea
  • Phone: 82 2-2072-0640
  • Fax: 82 27478363
  • Email: vital@snu.ac.kr