Deep Learning for Detection of Elevated Pulmonary Artery Wedge Pressure Using Standard Chest X-Ray.

Journal: The Canadian journal of cardiology

Published Date: Aug 1, 2021

Abstract

BACKGROUND: To accurately diagnose and control heart failure (HF), it is important to carry out a simple assessment of elevated pulmonary arterial wedge pressure (PAWP). The aim of this study was to develop and validate an objective method for detecting elevated PAWP by applying deep learning (DL) to a chest x-ray (CXR).

Authors

Yukina Hirata

Ultrasound Examination Center, Tokushima University Hospital, Tokushima, Japan.
Kenya Kusunose

Department of Cardiovascular Medicine, Tokushima University Hospital, Tokushima, Japan. Electronic address: kusunosek@tokushima-u.ac.jp.
Takumasa Tsuji

Graduate School of Medical and Care Technology, Teikyo University, Tokyo, Japan.
Kohei Fujimori

Graduate School of Medical and Care Technology, Teikyo University, Tokyo, Japan.
Jun'ichi Kotoku

Graduate School of Medical Technology, Teikyo University.
Masataka Sata

Department of Cardiovascular Medicine, Tokushima University Hospital, Tokushima, Japan.

Keywords

Aged Algorithms Cardiac Catheterization Datasets as Topic Deep Learning Echocardiography Female Humans Male Natriuretic Peptide, Brain Prospective Studies Pulmonary Wedge Pressure Radiography, Thoracic

External Resources

View on PubMed Access via DOI PubMed (33609716)

Deep Learning for Detection of Elevated Pulmonary Artery Wedge Pressure Using Standard Chest X-Ray.

Abstract

Authors

Keywords

External Resources

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