Deep Learning Algorithm to Detect Cardiac Sarcoidosis From Echocardiographic Movies.

Journal: Circulation journal : official journal of the Japanese Circulation Society
PMID: 34176867

Abstract

BACKGROUND: Because the early diagnosis of subclinical cardiac sarcoidosis (CS) remains difficult, we developed a deep learning algorithm to distinguish CS patients from healthy subjects using echocardiographic movies.

Authors

  • Susumu Katsushika
    Department of Cardiovascular Medicine, The University of Tokyo.
  • Satoshi Kodera
    Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Mitsuhiko Nakamoto
    Department of Cardiovascular Medicine, The University of Tokyo.
  • Kota Ninomiya
    Department of Cardiovascular Medicine, The University of Tokyo.
  • Nobutaka Kakuda
    Department of Cardiovascular Medicine, The University of Tokyo.
  • Hiroki Shinohara
    Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Ryo Matsuoka
    Department of Cardiovascular Medicine, The University of Tokyo.
  • Hirotaka Ieki
    Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Masae Uehara
    Department of Cardiovascular Medicine, The University of Tokyo Hospital.
  • Yasutomi Higashikuni
    Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Koki Nakanishi
    Department of Cardiovascular Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Tomoko Nakao
    Department of Cardiovascular Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Norifumi Takeda
    Department of Cardiovascular Medicine, The University of Tokyo.
  • Katsuhito Fujiu
    Department of Cardiovascular Medicine, The University of Tokyo.
  • Masao Daimon
    Department of Cardiovascular Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Jiro Ando
    Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Hiroshi Akazawa
    Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo.
  • Hiroyuki Morita
    Department of Cardiovascular Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Issei Komuro
    Department of Cardiovascular Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.

Keywords

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