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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
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 vess...
Autores principales: | Takahashi, Toshiaki, Nakagami, Gojiro, Murayama, Ryoko, Abe-Doi, Mari, Matsumoto, Masaru, Sanada, Hiromi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174762/ https://www.ncbi.nlm.nih.gov/pubmed/35613784 http://dx.doi.org/10.1136/bmjopen-2021-051466 |
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