A deep learning-based system capable of detecting pneumothorax via electrocardiogram.

Journal: European journal of trauma and emergency surgery : official publication of the European Trauma Society

Published Date: Feb 15, 2022

PURPOSE: To determine if an electrocardiogram-based artificial intelligence system can identify pneumothorax prior to radiological examination.

Chiao-Chin Lee

Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC.
Chin-Sheng Lin

Division of Cardiology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
Chien-Sung Tsai

Division of Cardiovascular Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center;
Tien-Ping Tsao

Division of Cardiology, Heart Centre, Cheng Hsin General Hospital, Taipei 112, Taiwan.
Cheng-Chung Cheng

Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Jun-Ting Liou
Wei-Shiang Lin

Division of Cardiology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
Chia-Cheng Lee

Planning and Management Office, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Jiann-Torng Chen

Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan.
Chin Lin

School of Public Health, National Defense Medical Center, Taipei, Taiwan.

Artificial Intelligence Deep Learning Electrocardiography Humans Pneumothorax Retrospective Studies

View on PubMed Access via DOI PubMed (35166869)