Artificial intelligence-based model for predicting pulmonary arterial hypertension on chest x-ray images.

Journal: BMC pulmonary medicine
PMID: 38413932

Abstract

BACKGROUND: Pulmonary arterial hypertension is a serious medical condition. However, the condition is often misdiagnosed or a rather long delay occurs from symptom onset to diagnosis, associated with decreased 5-year survival. In this study, we developed and tested a deep-learning algorithm to detect pulmonary arterial hypertension using chest X-ray (CXR) images.

Authors

  • Shun Imai
    Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan. imashun9168@gmail.com.
  • Seiichiro Sakao
    Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Jun Nagata
    Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Akira Naito
    Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Ayumi Sekine
    Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Toshihiko Sugiura
    Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Ayako Shigeta
    Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Akira Nishiyama
    Department of Radiology, Chiba University Hospital, 1-8-1, Inohana, Chuo-ku, Chiba-shi, Chiba, 260-8677, Japan.
  • Hajime Yokota
    Department of Radiology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Norihiro Shimizu
    Maebara Shimizu Eye Clinic, Chiba, Japan.
  • Takeshi Sugawara
    Chiba University Hospital Translational Research and Development Center, Chiba, Japan.
  • Toshiaki Nomi
    M3 Inc., Tokyo, Japan.
  • Seiwa Honda
    Nonprofit Organization (NPO) Nagoya Orthopedic Regional Healthcare Support Center, AI Research Division, Meitohonmachi 2-22-1, Meito-ward, Nagoya, Japan.
  • Keisuke Ogaki
    M3 Inc, Tokyo, Japan.
  • Nobuhiro Tanabe
    Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Takayuki Baba
    Department of Ophthalmology and Visual Science, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Takuji Suzuki
    Department of Respirology, Graduate School of Medicine, Chiba University, 1-8-1, Inohana, Chuo-ku, Chiba-shi, Chiba, 260-8677, Japan.

Keywords

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