Deep learning model for identifying acute heart failure patients using electrocardiography in the emergency room.

Journal: European heart journal. Acute cardiovascular care
PMID: 39787045

Abstract

AIMS: Acute heart failure (AHF) poses significant diagnostic challenges in the emergency room (ER) because of its varied clinical presentation and limitations of traditional diagnostic methods. This study aimed to develop and evaluate a deep learning model using electrocardiogram (ECG) data to enhance AHF identification in the ER.

Authors

  • Jose Moon
    Department of Medical Informatics, Korea University College of Medicine, Seoul 02841, Republic of Korea.
  • Jong-Ho Kim
    Korea University Research Institute for Medical Bigdata Science, Korea University, Seoul, Korea.
  • Soon Jun Hong
    Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul 02841, Republic of Korea.
  • Cheol Woong Yu
    Department of Radiology (J.Y.L., Y.W.O., S.H.H.) and Division of Cardiology, Department of Internal Medicine (D.S.L., C.W.Y., J.H.P., H.J.J.), Korea University Anam Hospital, 73 Inchon-ro, Seongbuk-gu, Seoul 02841, Republic of Korea; Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea (H.S.Y., E.Y.K.); and Department of Radiology, Korea University Ansan Hospital, Ansan, Republic of Korea (C.K., K.Y.L.).
  • Yong Hyun Kim
    Division of Cardiology, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea.
  • Eung Ju Kim
    Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
  • Jung-Joon Cha
    Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea.
  • Hyung Joon Joo
    Department of Radiology (J.Y.L., Y.W.O., S.H.H.) and Division of Cardiology, Department of Internal Medicine (D.S.L., C.W.Y., J.H.P., H.J.J.), Korea University Anam Hospital, 73 Inchon-ro, Seongbuk-gu, Seoul 02841, Republic of Korea; Department of Radiology, Korea University Guro Hospital, Seoul, Republic of Korea (H.S.Y., E.Y.K.); and Department of Radiology, Korea University Ansan Hospital, Ansan, Republic of Korea (C.K., K.Y.L.).

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