Automatic vein measurement by ultrasonography to prevent peripheral intravenous catheter failure for clinical practice using artificial intelligence: development and evaluation study of an automatic detection method based on deep learning.

Journal: BMJ open
Published Date: May 24, 2022

Abstract

OBJECTIVES: Complications due to peripheral intravenous catheters (PIVC) can be assessed using ultrasound imaging; however, it is not routinely conducted due to the need for training in image reading techniques. This study aimed to develop and validate a system that automatically measures blood vessel diameters on ultrasound images using artificial intelligence (AI) and provide recommendations for selecting an implantation site.

Authors

  • Toshiaki Takahashi
    Division of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
  • Gojiro Nakagami
    Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Ryoko Murayama
    Research Center for Implementation Nursing Science Initiative, Reseach Promotion Headquarters, Fujita Health University, Aichi, Japan.
  • Mari Abe-Doi
    Department of Gerontological Nursing/Wound Care Management, The University of Tokyo, Tokyo, Japan.
  • Masaru Matsumoto
    Department of Imaging Nursing Science, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Hiromi Sanada
    Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

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