Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses.

Journal: The journal of vascular access
PMID: 36895159

Abstract

BACKGROUND: Ultrasound guidance increases the success rate of peripheral intravenous catheter placement. However, the longer time required to obtain ultrasound-guided access poses difficulties for ultrasound beginners. Notably, interpretation of ultrasonographic images is considered as one of the main reasons of difficulty in using ultrasound for catheter placement. Therefore, an automatic vessel detection system (AVDS) using artificial intelligence was developed. This study aimed to investigate the effectiveness of AVDS for ultrasound beginners in selecting puncture points and determine suitable users for this system.

Authors

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